Commit Graph

669 Commits

Author SHA1 Message Date
NielsRogge
f5aeb7c1a5
[Docs] Improve VLM docs (#33393)
* Improve docs

* Update docs/source/en/model_doc/llava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Address comment

* Address comment

* Improve pixtral docs

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-10-07 09:54:07 +02:00
TomLim
1bd604d11c
[WIP] Add Tokenizer for MyT5 Model (#31286)
* Initial commit for MyT5 model

* custom implementation of MyT5 tokenizer, unused files deleted

* unittest for myt5 tokenizer

* upadate of import structure and style

* removed remmanents of MyT5Config

* fixed docstrings

* Updates after review: filled documentaion file, new docstrings and tests added

* Fixed code style issues

* fixed copied from to refer to function

* updated loading myt5 tokenizer in tests, added sample byte map file to fixtures

* changes after review

* removed redundant copied from

* removed redundant copied from

* optimalization and loading model from hf

* [run_slow] myt5

* [run-slow] myt5

* Updated en documentation for myt5

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-10-06 10:33:16 +02:00
pglorio
f319ba16fa
Add Zamba (#30950)
* Update index.md

* Rebase

* Rebase

* Updates from make fixup

* Update zamba.md

* Batched inference

* Update

* Fix tests

* Fix tests

* Fix tests

* Fix tests

* Update docs/source/en/model_doc/zamba.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/model_doc/zamba.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update configuration_zamba.py

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update modeling_zamba.py

* Update modeling_zamba.py

* Update modeling_zamba.py

* Update configuration_zamba.py

* Update modeling_zamba.py

* Update modeling_zamba.py

* Merge branch 'main' of https://github.com/Zyphra/transformers_zamba

* Update ZambaForCausalLM

* Update ZambaForCausalLM

* Describe diffs with original mamba layer

* Moved mamba init into `_init_weights`

* Update index.md

* Rebase

* Rebase

* Updates from make fixup

* Update zamba.md

* Batched inference

* Update

* Fix tests

* Fix tests

* Fix tests

* Fix tests

* Update docs/source/en/model_doc/zamba.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/model_doc/zamba.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update configuration_zamba.py

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update modeling_zamba.py

* Update modeling_zamba.py

* Update modeling_zamba.py

* Update configuration_zamba.py

* Update modeling_zamba.py

* Update modeling_zamba.py

* Merge branch 'main' of https://github.com/Zyphra/transformers_zamba

* Update ZambaForCausalLM

* Moved mamba init into `_init_weights`

* Update ZambaForCausalLM

* Describe diffs with original mamba layer

* make fixup fixes

* quality test fixes

* Fix Zamba model path

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* circleci fixes

* Update

* circleci fixes

* fix zamba test from merge

* fix ValueError for disabling mamba kernels

* add HF copyright

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* shared_transf --> shared_transformer

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fixes

* Move attention head dim to config

* Fix circle/ci tests

* Update modeling_zamba.py

* apply GenerationMixin inheritance change from upstream

* apply import ordering

* update needed transformers version for zamba

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* add contribution author

* add @slow to avoid CI

* Update src/transformers/models/zamba/modeling_zamba.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Define attention_hidden_size

* Added doc for attention_head_size

* trigger CI

* Fix doc of attention_hidden_size

* [run-slow] zamba

* Fixed shared layer logic, swapped up<->gate in mlp

* shared_transformer -> shared_transf

* reformat HybridLayer __init__

* fix docstrings in zamba config

* added definition of _get_input_ids_and_config

* fixed formatting of _get_input_ids_and_config

---------

Co-authored-by: root <root@node-4.us-southcentral1-a.compute.internal>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: root <root@node-1.us-southcentral1-a.compute.internal>
Co-authored-by: Quentin Anthony <qganthony@yahoo.com>
2024-10-04 22:28:05 +02:00
Amit Garg
e3775539c8
PhiMoE (#33363)
* onboard phimoe model

* removed debug code

* added unit tests

* updated docs

* formatted

* fixed unit tests

* fixed test case

* fixed format

* refactored code

* fixed expected outputs in the integration tests

* Added a warning msg

* Addressed comments

* Addressed comments

* fixed test cases

* added paper link

* Addressed comments

* Refactored PhimoeForCausalLM forward fn

* Refactored PhimoeRotaryEmbedding class

* fixed test cases

* fixed testcase

* fixed test case

* Addressed comments

* fixed test cases

* fixed testcases

* Used cache position instead to get the seq len
2024-10-04 21:39:45 +02:00
amyeroberts
b7474f211d
Trainer - deprecate tokenizer for processing_class (#32385)
* Trainer - deprecate tokenizer for processing_class

* Extend chage across Seq2Seq trainer and docs

* Add tests

* Update to FutureWarning and add deprecation version
2024-10-02 14:08:46 +01:00
Omar Salman
e7c8af7f33
Add sdpa for DistilBert (#33724)
* Add sdpa for DistilBert

* [run_slow] distilbert

* [run_slow] distilbert

* [run_slow] distilbert

* Try without slow tests

* [run_slow] distilbert

* [run_slow] distilbert
2024-10-02 13:55:19 +01:00
Raushan Turganbay
3e039d3827
Paligemma support for multi-image (#33447)
* upadte

* Update src/transformers/models/paligemma/processing_paligemma.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update docs

* better example in tests

* support image tokens

* read token

* Update tests/models/paligemma/test_processing_paligemma.py

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* nit: naming

* Update docs/source/en/model_doc/paligemma.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* conflicts after rebasing

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
2024-09-27 11:23:14 +02:00
John B Nelson
55b7a0404e
Make siglip examples clearer and error free (#33667)
Update siglip.md

This was already partially fixed relative to the deployed docs. But the partial fix made it inconsistent. Additionally, giving the full text ("This is a photo of...") is likely not the desired output.
2024-09-27 10:33:55 +02:00
Yoni Gozlan
77b47e6645
Fix docs and docstrings Omdet-Turbo (#33726)
Fix weights path in docs
2024-09-26 12:18:23 -04:00
Franz Louis Cesista
0a21381ba3
Uniformize kwargs for chameleon processor (#32181)
* uniformize kwargs of Chameleon

* fix linter nit

* rm stride default

* add tests for chameleon processor

* fix tests

* add comment on get_component

* rm Chameleon's slow tokenizer

* add check order images text + nit

* update docs and tests

* Fix LlamaTokenizer tests

* fix gated repo access

* fix wrong import

---------

Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
2024-09-26 10:18:07 -04:00
Andrés Marafioti
f2c388e3f9
Add Idefics 3! (#32473)
* Add Idefics 3!

* fixes to make both pipelines identical

* fix for quantized models

* First pass at the review

* remove vocab size from the main config (it's still in the text_config)

* hot fix for merve

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* re-add model_type for text_config

* remove support for old_cache

* remove hidden_size from main config

* rename idefics3 HF repo

* few changes suggested in the PR

* fix to input_data_format computation

* remove overwrite of _autoset_attn_implementation following @zucchini-nlp suggestion

* improve example

* few improvements from amy's review

* big change to enable processing input images as numpy arrays

* Changes to the code to uniformize processor kwargs

* image processing tests

* image processing tests fixes and some bugs they discovered

* addressed review comments from Yoni

* fix modeling tests

* remove special tokens that are not special

* fixes tests

* skip failing tests - they also fail for idefics2

* added paper and readded the tests with multi gpu, who knows

* Update docs/source/en/model_doc/idefics3.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* review amy until image_processing_idefics3

* last comments from Amy

* review amy

* Update src/transformers/models/idefics3/image_processing_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics3/modeling_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/idefics3.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* doc improvement - amy review

* fix runtime error during fine-tuning

* amy's review

* Update src/transformers/models/idefics3/image_processing_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics3/image_processing_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics3/modeling_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* ruff

* amy's comment on the order

* ruff ruff

* fix copies

* square images when they are not splitted

* ruff :(

* Update src/transformers/models/idefics3/image_processing_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/idefics3/test_processing_idefics3.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix small bug introduced in refactor

* amy's image processing changes

* fixes peft tests and ruff

* modify to_pil_image from transformers. and review from emanuele.

* add modified to_pil_image

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-25 21:28:49 +02:00
Arthur
19d58d31f1
Add MLLama (#33703)
* current changes

* nit

* Add cross_attenttion_mask to processor

* multi-image fixed

* Add cross_attenttion_mask to processor

* cross attn works in all cases

* WIP refactoring function for image processor

* WIP refactoring image processor functions

* Refactor preprocess to use global loops instead of list nested list comps

* Docstrings

* Add channels unification

* fix dtype issues

* Update docsrings and format

* Consistent max_image_tiles

* current script

* updates

* Add convert to rgb

* Add image processor tests

* updates!

* update

* god damn it I am dumb sometimes

* Precompute aspect ratios

* now this works, full match

* fix 😉

* nits

* style

* fix model and conversion

* nit

* nit

* kinda works

* hack for sdpa non-contiguous bias

* nits here and there

* latest c hanges

* merge?

* run forward

* Add aspect_ratio_mask

* vision attention mask

* update script and config variable names

* nit

* nits

* be able to load

* style

* nits

* there

* nits

* make forward run

* small update

* enable generation multi-turn

* nit

* nit

* Clean up a bit for errors and typos

* A bit more constant fixes

* 90B keys and shapes match

* Fix for 11B model

* Fixup, remove debug part

* Docs

* Make max_aspect_ratio_id to be minimal

* Update image processing code to match new implementation

* Adjust conversion for final checkpoint state

* Change dim in repeat_interleave (accordig to meta code)

* tmp fix for num_tiles

* Fix for conversion (gate<->up, q/k_proj rope permute)

* nits

* codestyle

* Vision encoder fixes

* pass cross attn mask further

* Refactor aspect ratio mask

* Disable text-only generation

* Fix cross attention layers order, remove q/k norm rotation for cross atention layers

* Refactor gated position embeddings

* fix bugs but needs test with new weights

* rope scaling should be llama3

* Fix rope scaling name

* Remove debug for linear layer

* fix copies

* Make mask prepare private func

* Remove linear patch embed

* Make precomputed embeddings as nn.Embedding module

* MllamaPrecomputedAspectRatioEmbedding with config init

* Remove unused self.output_dim

* nit, intermediate layers

* Rename ln and pos_embed

* vision_chunk_size -> image_size

* return_intermediate -> intermediate_layers_indices

* vision_input_dim -> hidden_size

* Fix copied from statements

* fix most tests

* Fix more copied from

* layer_id->layer_idx

* Comment

* Fix tests for processor

* Copied from for _prepare_4d_causal_attention_mask_with_cache_position

* Style fix

* Add MllamaForCausalLM

* WIP fixing tests

* Remove duplicated layers

* Remove dummy file

* Fix style

* Fix consistency

* Fix some TODOs

* fix language_model instantiation, add docstring

* Move docstring, remove todos for precomputed embeds (we cannot init them properly)

* Add initial docstrings

* Fix

* fix some tests

* lets skip these

* nits, remove print, style

* Add one more copied from

* Improve test message

* Make validate func private

* Fix dummy objects

* Refactor `data_format` a bit + add comment

* typos/nits

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* fix dummy objects and imports

* Add chat template config json

* remove num_kv_heads from vision attention

* fix

* move some commits and add more tests

* fix test

* Remove `update_key_name` from modeling utils

* remove num-kv-heads again

* some prelimiary docs

* Update chat template + tests

* nit, conversion script max_num_tiles from params

* Fix warning for text-only generation

* Update conversion script for instruct models

* Update chat template in converstion + test

* add tests for CausalLM model

* model_max_length, avoid null chat_template

* Refactor conversion script

* Fix forward

* Fix integration tests

* Refactor vision config + docs

* Fix default

* Refactor text config

* Doc fixes

* Remove unused args, fix docs example

* Squashed commit of the following:

commit b51ce5a2efffbecdefbf6fc92ee87372ec9d8830
Author: qubvel <qubvel@gmail.com>
Date:   Wed Sep 18 13:39:15 2024 +0000

    Move model + add output hidden states and output attentions

* Fix num_channels

* Add mllama text and mllama vision models

* Fixing repo consistency

* Style fix

* Fixing repo consistency

* Fixing unused config params

* Fix failed tests after refactoring

* hidden_activation -> hidden_act  for text mlp

* Remove from_pretrained from sub-configs

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/mllama/convert_mllama_weights_to_hf.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Reuse lambda in conversion script

* Remove run.py

* Update docs/source/en/model_doc/mllama.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/mllama/processing_mllama.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove unused LlamaTokenizerFast

* Fix logging

* Refactor gating

* Remove cycle for collecting intermediate states

* Refactor text-only check, add integration test for text-only

* Revert from pretrained to configs

* Fix example

* Add auto `bos_token` adding in processor

* Fix tips

* Update src/transformers/models/auto/tokenization_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Enable supports_gradient_checkpointing model flag

* add eager/sdpa options

* don't skip attn tests and bring back GC skips (did i really remove those?)

* Fix signature, but get error with None gradient

* Fix output attention tests

* Disable GC back

* Change no split modules

* Fix dropout

* Style

* Add Mllama to sdpa list

* Add post init for vision model

* Refine config for MllamaForCausalLMModelTest and skipped tests for CausalLM model

* if skipped, say it, don't pass

* Clean vision tester config

* Doc for args

* Update tests/models/mllama/test_modeling_mllama.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add cross_attention_mask to test

* typehint

* Remove todo

* Enable gradient checkpointing

* Docstring

* Style

* Fixing and skipping some tests for new cache

* Mark flaky test

* Skip `test_sdpa_can_compile_dynamic` test

* Fixing some offload tests

* Add direct GenerationMixin inheritance

* Remove unused code

* Add initializer_range to vision config

* update the test to make sure we show if split

* fix gc?

* Fix repo consistency

* Undo modeling utils debug changes

* Fix link

* mllama -> Mllama

* [mllama] -> [Mllama]

* Enable compile test for CausalLM model (text-only)

* Fix TextModel prefix

* Update doc

* Docs for forward, type hints, and vision model prefix

* make sure to reset

* fix init

* small script refactor and styling

* nit

* updates!

* some nits

* Interpolate embeddings for 560 size and update integration tests

* nit

* does not suppor static cache!

* update

* fix

* nit2

* this?

* Fix conversion

* Style

* 4x memory improvement with image cache AFAIK

* Token decorator for tests

* Skip failing tests

* update processor errors

* fix split issues

* style

* weird

* style

* fix failing tests

* update

* nit fixing the whisper tests

* fix path

* update

---------

Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: pavel <ubuntu@ip-10-90-0-11.ec2.internal>
Co-authored-by: qubvel <qubvel@gmail.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2024-09-25 19:56:25 +02:00
Yoni Gozlan
94f18cf23c
Add OmDet-Turbo (#31843)
* Add template with add-new-model-like

* Add rough OmDetTurboEncoder and OmDetTurboDecoder

* Add working OmDetTurbo convert to hf

* Change OmDetTurbo encoder to RT-DETR encoder

* Add swin timm backbone as default, add always partition fix for swin timm

* Add labels and tasks caching

* Fix make fix-copies

* Format omdet_turbo

* fix Tokenizer tests

* Fix style and quality

* Reformat omdet_turbo

* Fix quality, style, copies

* Standardize processor kwargs

* Fix style

* Add output_hidden_states and ouput_attentions

* Add personalize multi-head attention, improve docstrings

* Add integrated test and fix copy, style, quality

* Fix unprotected import

* Cleanup comments and fix unprotected imports

* Add fix different prompts in batch (key_padding_mask)

* Add key_padding_mask to custom multi-head attention module

* Replace attention_mask by key_padding_mask

* Remove OmDetTurboModel and refactor

* Refactor processing of classes and abstract use of timm backbone

* Add testing, fix output attentions and hidden states, add cache for anchors generation

* Fix copies, style, quality

* Add documentation, conver key_padding_mask to attention_mask

* revert changes to backbone_utils

* Fic docstrings rst

* Fix unused argument in config

* Fix image link documentation

* Reorder config and cleanup

* Add tokenizer_init_kwargs in merge_kwargs of the processor

* Change AutoTokenizer to CLIPTokenizer in convert

* Fix init_weights

* Add ProcessorMixin tests, Fix convert while waiting on uniform kwargs

* change processor kwargs and make task input optional

* Fix omdet docs

* Remove unnecessary tests for processor kwargs

* Replace nested BatchEncoding output of the processor by a flattened BatchFeature

* Make modifications from Pavel review

* Add changes Amy review

* Remove unused param

* Remove normalize_before param, Modify processor call docstring

* Remove redundant decoder class, add gradient checkpointing for decoder

* Remove commented out code

* Fix inference in fp16 and add fp16 integrated test

* update omdet md doc

* Add OmdetTurboModel

* fix caching and nit

* add OmDetTurboModel to tests

* nit change repeated key test

* Improve inference speed in eager mode

* fix copies

* Fix nit

* remove OmdetTurboModel

* [run-slow] omdet_turbo

* [run-slow] omdet_turbo

* skip dataparallel test

* [run-slow] omdet_turbo

* update weights to new path

* remove unnecessary config in class

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-91-248.ec2.internal>
2024-09-25 13:26:28 -04:00
Isaac Schifferer
61e98cb957
Add SDPA support for M2M100 (#33309)
* Add SDPA support for M2M100

* [run_slow] m2m_100, nllb
2024-09-25 18:04:42 +01:00
NielsRogge
06e27e3dc0
[Pixtral] Improve docs, rename model (#33491)
* Improve docs, rename model

* Fix style

* Update repo id
2024-09-25 13:53:12 +02:00
Yoni Gozlan
5f0c181f4e
Uniformize kwargs for image-text-to-text processors (#32544)
* uniformize FUYU processor kwargs

* Uniformize instructblip processor kwargs

* Fix processor kwargs and tests Fuyu, InstructBlip, Kosmos2

* Uniformize llava_next processor

* Fix save_load test for processor with chat_template only as extra init args

* Fix import Unpack

* Fix Fuyu Processor import

* Fix FuyuProcessor import

* Fix FuyuProcessor

* Add defaults for specific kwargs kosmos2

* Fix Udop to return BatchFeature instead of BatchEncoding and uniformize kwargs

* Add tests processor Udop

* remove Copied from in processing Udop as change of input orders caused by BatchEncoding -> BatchFeature

* Fix overwrite tests kwargs processors

* Add warnings and BC for changes in processor inputs order, change docs, add BC for text_pair as arg for Udop

* Fix processing test fuyu

* remove unnecessary pad_token check in instructblip ProcessorTest

* Fix BC tests and cleanup

* FIx imports fuyu

* Uniformize Pix2Struct

* Fix wrong name for FuyuProcessorKwargs

* Fix slow tests reversed inputs align fuyu llava-next, change udop warning

* Fix wrong logging import udop

* Add check images text input order

* Fix copies

* change text pair handling when positional arg

* rebase on main, fix imports in test_processing_common

* remove optional args and udop uniformization from this PR

* fix failing tests

* remove unnecessary test, fix processing utils and test processing common

* cleanup Unpack

* cleanup

* fix conflict grounding dino
2024-09-24 21:28:19 -04:00
jiqing-feng
11c27dd331
Enable BNB multi-backend support (#31098)
* enable cpu bnb path

* fix style

* fix code style

* fix 4 bit path

* Update src/transformers/utils/import_utils.py

Co-authored-by: Aarni Koskela <akx@iki.fi>

* add multi backend refactor tests

* fix style

* tweak 4bit quantizer + fix corresponding tests

* tweak 8bit quantizer + *try* fixing corresponding tests

* fix dequant bnb 8bit

* account for Intel CPU in variability of expected outputs

* enable cpu and xpu device map

* further tweaks to account for Intel CPU

* fix autocast to work with both cpu + cuda

* fix comments

* fix comments

* switch to testing_utils.torch_device

* allow for xpu in multi-gpu tests

* fix tests 4bit for CPU NF4

* fix bug with is_torch_xpu_available needing to be called as func

* avoid issue where test reports attr err due to other failure

* fix formatting

* fix typo from resolving of merge conflict

* polish based on last PR review

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* fix CI

* Update src/transformers/integrations/integration_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/integrations/integration_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix error log

* fix error msg

* add \n in error log

* make quality

* rm bnb cuda restriction in doc

* cpu model don't need dispatch

* fix doc

* fix style

* check cuda avaliable in testing

* fix tests

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update tests/quantization/bnb/test_4bit.py

Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update tests/quantization/bnb/test_4bit.py

Co-authored-by: Aarni Koskela <akx@iki.fi>

* fix doc

* fix check multibackends

* fix import sort

* remove check torch in bnb

* docs: update bitsandbytes references with multi-backend info

* docs: fix small mistakes in bnb paragraph

* run formatting

* reveret bnb check

* move bnb multi-backend check to import_utils

* Update src/transformers/utils/import_utils.py

Co-authored-by: Aarni Koskela <akx@iki.fi>

* fix bnb check

* minor fix for bnb

* check lib first

* fix code style

* Revert "run formatting"

This reverts commit ac108c6d6b.

* fix format

* give warning when bnb version is low and no cuda found]

* fix device assignment check to be multi-device capable

* address akx feedback on get_avlbl_dev fn

* revert partially, as we don't want the function that public, as docs would be too much (enforced)

---------

Co-authored-by: Aarni Koskela <akx@iki.fi>
Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-09-24 03:40:56 -06:00
amyeroberts
e71bf70e33
Pixtral update example checkpoint (#33633)
* Update pixtral example checkpoint

* Fix typo
2024-09-21 01:01:16 +01:00
Mayank Mishra
e472e077c2
Granitemoe (#33207)
* first commit

* drop tokenizer

* drop tokenizer

* drop tokenizer

* drop convert

* granite

* drop tokenization test

* mup

* fix

* reformat

* reformat

* reformat

* fix docs

* stop checking for checkpoint

* update support

* attention multiplier

* update model

* tiny drop

* saibo drop

* skip test

* fix test

* fix test

* drop

* drop useless imports

* update docs

* drop flash function

* copied from

* drop pretraining tp

* drop pretraining tp

* drop pretraining tp

* drop unused import

* drop code path

* change name

* softmax scale

* head dim

* drop legacy cache

* rename params

* cleanup

* fix copies

* comments

* add back legacy cache

* multipliers

* multipliers

* multipliers

* text fix

* fix copies

* merge

* multipliers

* attention multiplier

* drop unused imports

* add granitemoe

* add decoration

* remove moe from sequenceclassification

* fix test

* fix

* fix

* fix

* move rope?

* merge

* drop bias

* drop bias

* Update src/transformers/models/granite/configuration_granite.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* Update src/transformers/models/granite/modeling_granite.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix

* fix

* fix

* drop

* drop

* fix

* fix

* cleanup

* cleanup

* fix

* fix granite tests

* fp32 test

* fix

* drop jitter

* fix

* rename

* rename

* fix config

* add gen test

---------

Co-authored-by: Yikang Shen <yikang.shn@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-09-21 01:43:50 +02:00
Omar Salman
653eb40425
Add sdpa for BioGpt (#33592)
* Add sdpa for BioGpt

* Updates

* Add the docs

* [run_slow] biogpt

* Use the copy mechanism to ensure consistency

* [run_slow] biogpt
2024-09-20 14:27:32 +01:00
Yoni Gozlan
f111d5b783
Uniformize kwargs for Paligemma processor and update docs (#33571)
* Uniformize paligemma processor

* nit
2024-09-19 14:14:06 -04:00
Yoach Lacombe
5af7d41e49
Codec integration (#33565)
* clean mimi commit

* some nits suggestions from Arthur

* make fixup

* rename repo id + change readme

* Update docs/source/en/model_doc/mimi.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add flaky flag to batching equivalence due to audio_codes failing sometimes

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-18 19:23:44 +02:00
Yoni Gozlan
d8500cd229
Uniformize kwargs for Pixtral processor (#33521)
* add uniformized pixtral and kwargs

* update doc

* fix _validate_images_text_input_order

* nit
2024-09-17 14:44:27 -04:00
Max Buckley
ac5a0556f1
Update chameleon.md — fix runtime type error (#33494)
Update chameleon.md

Fix error

RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same
2024-09-17 13:32:49 +02:00
Arthur
8bd2b1e8c2
Add support for Pixtral (#33449)
* initial commit

* gloups

* updates

* work

* weights match

* nits

* nits

* updates to support the tokenizer :)

* updates

* Pixtral processor (#33454)

* rough outline

* Add in image break and end tokens

* Fix

* Udo some formatting changes

* Set patch_size default

* Fix

* Fix token expansion

* nit in conversion script

* Fix image token list creation

* done

* add expected results

* Process list of list of images (#33465)

* updates

* working image and processor

* this is the expected format

* some fixes

* push current updated

* working mult images!

* add a small integration test

* Uodate configuration docstring

* Formatting

* Config docstring fix

* simplify model test

* fixup modeling and etests

* Return BatchMixFeature in image processor

* fix some copies

* update

* nits

* Update model docstring

* Apply suggestions from code review

* Fix up

* updates

* revert modeling changes

* update

* update

* fix load safe

* addd liscence

* update

* use pixel_values as required by the model

* skip some tests and refactor

* Add pixtral image processing tests (#33476)

* Image processing tests

* Add processing tests

* woops

* defaults reflect pixtral image processor

* fixup post merge

* images -> pixel values

* oups sorry Mr docbuilder

* isort

* fix

* fix processor tests

* small fixes

* nit

* update

* last nits

* oups this was really breaking!

* nits

* is composition needs to be true

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-14 12:28:39 +02:00
Raushan Turganbay
2f611d30d9
Qwen2-VL: clean-up and add more tests (#33354)
* clean-up on qwen2-vl and add generation tests

* add video tests

* Update tests/models/qwen2_vl/test_processing_qwen2_vl.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix and add better tests

* Update src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update docs and address comments

* Update docs/source/en/model_doc/qwen2_vl.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/qwen2_vl.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update

* remove size at all

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-12 18:24:04 +02:00
Michael Currin
e0ff4321d1
Docs - update formatting of llama3 model card (#33438)
update formatting of llama3 content
2024-09-12 11:24:56 +02:00
Nilay Bhatnagar
eedd21b9e7
Fixed Majority of the Typos in transformers[en] Documentation (#33350)
* Fixed typo: insted to instead

* Fixed typo: relase to release

* Fixed typo: nighlty to nightly

* Fixed typos: versatible, benchamarks, becnhmark to versatile, benchmark, benchmarks

* Fixed typo in comment: quantizd to quantized

* Fixed typo: architecutre to architecture

* Fixed typo: contibution to contribution

* Fixed typo: Presequities to Prerequisites

* Fixed typo: faste to faster

* Fixed typo: extendeding to extending

* Fixed typo: segmetantion_maps to segmentation_maps

* Fixed typo: Alternativelly to Alternatively

* Fixed incorrectly defined variable: output to output_disabled

* Fixed typo in library name: tranformers.onnx to transformers.onnx

* Fixed missing import: import tensorflow as tf

* Fixed incorrectly defined variable: token_tensor to tokens_tensor

* Fixed missing import: import torch

* Fixed incorrectly defined variable and typo: uromaize to uromanize

* Fixed incorrectly defined variable and typo: uromaize to uromanize

* Fixed typo in function args: numpy.ndarry to numpy.ndarray

* Fixed Inconsistent Library Name: Torchscript to TorchScript

* Fixed Inconsistent Class Name: OneformerProcessor to OneFormerProcessor

* Fixed Inconsistent Class Named Typo: TFLNetForMultipleChoice to TFXLNetForMultipleChoice

* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch

* Fixed Inconsistent Function Name Typo: captureWarning to captureWarnings

* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch

* Fixed Inconsistent Class Name Typo: TrainingArgument to TrainingArguments

* Fixed Inconsistent Model Name Typo: Swin2R to Swin2SR

* Fixed Inconsistent Model Name Typo: EART to BERT

* Fixed Inconsistent Library Name Typo: TensorFLow to TensorFlow

* Fixed Broken Link for Speech Emotion Classification with Wav2Vec2

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed minor missing word Typo

* Fixed Punctuation: Two commas

* Fixed Punctuation: No Space between XLM-R and is

* Fixed Punctuation: No Space between [~accelerate.Accelerator.backward] and method

* Added backticks to display model.fit() in codeblock

* Added backticks to display openai-community/gpt2 in codeblock

* Fixed Minor Typo: will to with

* Fixed Minor Typo: is to are

* Fixed Minor Typo: in to on

* Fixed Minor Typo: inhibits to exhibits

* Fixed Minor Typo: they need to it needs

* Fixed Minor Typo: cast the load the checkpoints To load the checkpoints

* Fixed Inconsistent Class Name Typo: TFCamembertForCasualLM to TFCamembertForCausalLM

* Fixed typo in attribute name: outputs.last_hidden_states to outputs.last_hidden_state

* Added missing verbosity level: fatal

* Fixed Minor Typo: take To takes

* Fixed Minor Typo: heuristic To heuristics

* Fixed Minor Typo: setting To settings

* Fixed Minor Typo: Content To Contents

* Fixed Minor Typo: millions To million

* Fixed Minor Typo: difference To differences

* Fixed Minor Typo: while extract To which extracts

* Fixed Minor Typo: Hereby To Here

* Fixed Minor Typo: addition To additional

* Fixed Minor Typo: supports To supported

* Fixed Minor Typo: so that benchmark results TO as a consequence, benchmark

* Fixed Minor Typo: a To an

* Fixed Minor Typo: a To an

* Fixed Minor Typo: Chain-of-though To Chain-of-thought
2024-09-09 10:47:24 +02:00
Niklas Muennighoff
03164ba14e
Add paper link (#33305) 2024-09-05 15:49:28 +02:00
Raushan Turganbay
43df47d8e7
Llava Onevision: add model (#32673)
* working version

* fix copies

* update

* tests

* update docs

* codestyle

* add more tests

* add returns for docs

* clean up

* Update src/transformers/models/llava_onevision/processing_llava_onevision.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates

* codestyle

* style

* shouldn't be reversed

* [run-slow] llava_onevision

* [run-slow] llava_onevision

* add pooling in videos

* [run-slow] llava_onevision

* num-logits-to-keep

* [run-slow] llava_onevision

* [run-slow] llava_onevision

* Update tests/test_modeling_common.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* video matched orig impl

* fix tests

* chat template was modified

* Update docs/source/en/model_doc/llava_onevision.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add morer info in the doc page

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-05 14:43:20 +05:00
Niklas Muennighoff
ecd61c6286
Add OLMoE (#32406)
* Add OLMoE

* Add OLMoE

* Updates

* Make norm optional; add keys

* Add output

* Add

* Fix dtype

* Fix eos config

* Update

* Add OLMoE

* Fix OLMoE path

* Format

* Format

* Rmv copy statement

* Rmv copy statement

* Format

* Add copies

* Cp rotary

* Fix aming

* Fix naming

* Update RoPE integration; num_logits_to_keep; Add copy statements

* Add eps to config

* Format

* Add aux loss

* Adapt router_aux_loss_coef

* Update md

* Adapt

* adapt tests
2024-09-03 18:43:12 +02:00
Omar Salman
03c12d0d63
Add sdpa support for Albert (#32092)
* Add sdpa support for Albert

* [run_slow] albert

* Add benchmarks and PR suggestion

* Fix quality

* Fix

* [run_slow] albert
2024-09-03 14:01:00 +01:00
Sergio Paniego Blanco
28952248b1
Fixed typo repeated word in DETR docs (#33250) 2024-09-02 17:19:18 +02:00
Mayank Mishra
c35d2ccf5a
Granite language models (#31502)
* first commit

* drop tokenizer

* drop tokenizer

* drop tokenizer

* drop convert

* granite

* drop tokenization test

* mup

* fix

* reformat

* reformat

* reformat

* fix docs

* stop checking for checkpoint

* update support

* attention multiplier

* update model

* tiny drop

* saibo drop

* skip test

* fix test

* fix test

* drop

* drop useless imports

* update docs

* drop flash function

* copied from

* drop pretraining tp

* drop pretraining tp

* drop pretraining tp

* drop unused import

* drop code path

* change name

* softmax scale

* head dim

* drop legacy cache

* rename params

* cleanup

* fix copies

* comments

* add back legacy cache

* multipliers

* multipliers

* multipliers

* text fix

* fix copies

* merge

* multipliers

* attention multiplier

* drop unused imports

* fix

* fix

* fix

* move rope?

* Update src/transformers/models/granite/configuration_granite.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* Update src/transformers/models/granite/modeling_granite.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix

* fix

* fix

* fix-copies

* torch rmsnorm

* add authors

* change model path

* fix

* test

* drop static cache test

* uupdate readme

* drop non-causal

* readme

* drop useless imports

* Update docs/source/en/model_doc/granite.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/model_doc/granite.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/model_doc/granite.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-27 21:27:21 +02:00
Juan Pizarro
7591ca5bc5
🚨 Add Blip2ForImageTextRetrieval (#29261)
* add Blip2ForImageTextRetrieval

* use one line and remove unnecessary space in tests

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* use  value from the config, rather than hardcoded

* change order of params in Blip2QFormerModel.forward

* update docstring

* fix style

* update test_inference_opt

* move embeddings out of Blip2QFormerModel

* remove from_vision_qformer_configs

* remove autocast float16 in Blip2QFormerModel

* rename fiels into vision_projection,text_projection,use_image_text_matching_head

* use CLIPOutput for  Blip2ImageTextMatchingModelOutput

* remove past_key_values_length from Blip2TextEmbeddings

* fix small typo in the CLIPOutput docstring

* add Blip2ForImageTextRetrieval to Zero Shot Image Classification mapping

* update docstring and add require_torch_fp16

* rollback test_inference_opt

* use use_image_text_matching_head=True in convert

* skip test_model_get_set_embeddings

* fix create_rename_keys error on new itm fields

* revert to do  scale after dot product between "query" and "key"

* fix ValueError on convert script for blip2-opt-2.7b

* update org of paths to Salesforce

* add is_pipeline_test_to_skip for VisualQuestionAnsweringPipelineTests

* [run_slow] blip_2

* removed Blip2ForImageTextRetrieval from IGNORE_NON_AUTO_CONFIGURED

* fix docstring of Blip2ImageTextMatchingModelOutput

* [run_slow] blip_2

* fix multi-gpu tests

* [run_slow] blip_2

* [run_slow] blip_2

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-08-27 18:50:27 +01:00
Vaibhav Srivastav
6f0ecf1049
[docs] add quick usage snippet to Whisper. (#31289)
* [docs] add quick usage snippet to Whisper.

* Apply suggestions from review.

* 💉 Fix the device for pipeline.
2024-08-27 14:11:52 +02:00
Pablo Montalvo
26f043bd4d
quickfix documentation (#32566)
* fix documentation

* update config
2024-08-26 17:49:44 +02:00
Ritik Nandwal
a378a54a57
Add changes for uroman package to handle non-Roman characters (#32404)
* Add changes for uroman package to handle non-Roman characters

* Update docs for uroman changes

* Modifying error message to warning, for backward compatibility

* Update instruction for user to install uroman

* Update docs for uroman python version dependency and backward compatibility

* Update warning message for python version compatibility with uroman

* Refine docs
2024-08-26 17:07:01 +02:00
Shijie
19e6e80e10
support qwen2-vl (#32318)
* support-qwen2-vl

* tidy

* tidy

* tidy

* tidy

* tidy

* tidy

* tidy

* hyphen->underscore

* make style

* add-flash2-tipd

* delete-tokenize=False

* remove-image_processor-in-init-file

* add-qwen2_vl-in-MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES

* format-doct

* support-Qwen2VLVisionConfig

* remove-standardize_cache_format

* fix-letter-varaibles

* remove-torch-in-image-processor

* remove-useless-docstring

* fix-one-letter-varaible-name

* change-block-name

* default-quick-gelu-in-vision

* remove-useless-doc

* use-preimplemented-flash-forward

* fix-doc

* fix-image-processing-doc

* fix-apply-rotary-embed

* fix-flash-attn-sliding-window

* refactor

* remove-default_template

* remove-reorder_cache

* simple-get-rope_deltas

* update-prepare_inputs_for_generation

* update-attention-mask

* update-rotary_seq_len

* remove-state

* kv_seq_length

* remove-warning

* _supports_static_cache

* remove-legacy-cache

* refactor

* fix-replace

* mrope-section-doc

* code-quality

* code-quality

* polish-doc

* fix-image-processing-test

* update readme

* Update qwen2_vl.md

* fix-test

* Update qwen2_vl.md

* nit

* processor-kwargs

* hard-code-norm_layer

* code-quality

* discard-pixel-values-in-gen

* fix-inconsistent-error-msg

* unify-image-video

* hidden_act

* add-docstring

* vision-encode-as-PreTrainedModel

* pixel-to-target-dtype

* update doc and low memoryvit

* format

* format

* channel-foramt

* fix vit_flashatt

* format

* inherit-Qwen2VLPreTrainedModel

* simplify

* format-test

* remove-one-line-func-in-image-processing

* avoid-one-line-reshape

* simplify-rotary_seq_len

* avoid-single-letter-variable

* no-for-loop-sdpa

* avoid-single-letter-variable

* remove-one-line-reshape

* remove-one-line-reshape

* remove-no-rope-in-vit-logic

* default-mrope

* add-copied-from

* more-docs-for-mrope

* polish-doc

* comment-and-link

* polish-doc

* single-letter-variables

* simplify-image-processing

* video->images

* kv_seq_len-update

* vision-rope-on-the-fly

* vision-eager-attention

* change-processor-order

---------

Co-authored-by: baishuai <baishuai.bs@alibaba-inc.com>
Co-authored-by: ShuaiBai623 <43326198+ShuaiBai623@users.noreply.github.com>
2024-08-26 15:16:44 +02:00
Kamil Akesbi
8260cb311e
Add Descript-Audio-Codec model (#31494)
* dac model

* original dac works

* add dac model

* dac can be instatiated

* add forward pass

* load weights

* all weights are used

* convert checkpoint script ready

* test

* add feature extractor

* up

* make style

* apply cookicutter

* fix tests

* iterate on FeatureExtractor

* nit

* update dac doc

* replace nn.Sequential with nn.ModuleList

* nit

* apply review suggestions 1/2

* Update src/transformers/models/dac/modeling_dac.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* up

* apply review suggestions 2/2

* update padding in FeatureExtractor

* apply review suggestions

* iterate on design and tests

* add integration tests

* feature extractor tests

* make style

* all tests pass

* make style

* fixup

* apply review suggestions

* fix-copies

* apply review suggestions

* apply review suggestions

* Update docs/source/en/model_doc/dac.md

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update docs/source/en/model_doc/dac.md

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* anticipate transfer weights to descript

* up

* make style

* apply review suggestions

* update slow test values

* update slow tests

* update test values

* update with CI values

* update with vorace values

* update test with slice

* make style

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
2024-08-19 10:21:51 +01:00
MAHIR DAIYAN
843e5e20ca
Add Flax Dinov2 (#31960)
* tfmsenv restored in main

* installed flax

* forward pass done and all tests passed

* make fix-copies and cleaning the scripts

* fixup attempt 1

* fixup attempt 2

* fixup third attempt

* fixup attempt 4

* fixup attempt 5

* dinov2 doc fixed

* FlaxDinov2Model + ForImageClassification added to OBJECTS_TO_IGNORE

* external pos_encoding layer removed

* fixup attempt 6

* fixed integration test values

* fixup attempt 7

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* comments removed

* comment removed from the test

* fixup

* Update src/transformers/models/dinov2/modeling_flax_dinov2.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* new fixes 1

* interpolate_pos_encoding function removed

* droppath rng fixed, pretrained beit copied-from still not working

* modeling_flax_dinov2.py reformatted

* Update tests/models/dinov2/test_modeling_flax_dinov2.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* added Copied from, to the tests

* copied from statements removed from tests

* fixed copied from statements in the tests

* [run_slow] dinov2

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
2024-08-19 09:28:13 +01:00
Yangshen⚡Deng
a27182b7fc
Fix AutoConfig and AutoModel support for Llava-Next-Video (#32844)
* Fix: fix all model_type of Llava-Next-Video to llava_next_video

* Fix doc for llava_next_video

* * Fix formatting issues
* Change llava-next-video.md file name into llava_next_video.md to make it compatible with implementation

* Fix docs TOC for llava-next-video
2024-08-16 12:41:05 +01:00
Quentin Gallouédec
f1c8542ff7
"to be not" -> "not to be" (#32636)
* "to be not" -> "not to be"

* Update sam.md

* Update trainer.py

* Update modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py
2024-08-12 20:20:17 +01:00
Younes Belkada
7c11491208
Add new model (#32615)
* v1 - working version

* fix

* fix

* fix

* fix

* rename to correct name

* fix title

* fixup

* rename files

* fix

* add copied from on tests

* rename to `FalconMamba` everywhere and fix bugs

* fix quantization + accelerate

* fix copies

* add `torch.compile` support

* fix tests

* fix tests and add slow tests

* copies on config

* merge the latest changes

* fix tests

* add few lines about instruct

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix tests

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-12 08:22:47 +02:00
Yunfei Chu
16ed0640be
Add Qwen2-Audio (#32137)
* add qwen2audio

* Update check_repo.py

* fix style

* fix test

* fix style

* add model size

* Qwen2AudioEncoderModel->Qwen2AudioEncoder; add copy info

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* switch the attention_mask and the feature_attention_mask

* add to PRIVATE_MODELS in check_repo.py; add to MODEL_NAMES_TO_IGNORE in check_table.py

* fix initialization

* update chat_template

* fix consistency issue after copy

* add docstrings to _merge_input_ids_with_audio_features

* add copied from to prepare_inputs_for_generation

* add more details to docs

* rm comment

* add init_std

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* update

* Update docs/source/en/model_doc/qwen2_audio.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update tests

* rm ignore_index

* update processor

* rm ffmpeg_read

* Update tests/models/qwen2_audio/test_modeling_qwen2_audio.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/qwen2_audio.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/qwen2_audio.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/qwen2_audio.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update

* typo

* [run_slow] qwen2_audio

* [run_slow] qwen2_audio

* [run_slow] qwen2_audio

* fix quality

* [run_slow] qwen2_audio

* [run_slow] qwen2_audio

* [run_slow] qwen2_audio

* add official model

---------

Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-08-08 15:47:24 +02:00
Raushan Turganbay
7ad784ae9d
Gemma2: add cache warning (#32279)
* gemma2 fallback to dynamic cache

* Update src/transformers/models/gemma2/modeling_gemma2.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/models/gemma2/modeling_gemma2.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* raise error and dont fallback to dynamic cache

* prev will break most forward calls/tests

* Update src/transformers/models/gemma2/modeling_gemma2.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* update

* fix copies

---------

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-07 10:03:05 +05:00
Chris Toukmaji
50c3ba889a
Documentation: BOS token_id deprecation change for NLLB (#32443)
Update nllb.md
2024-08-06 09:22:08 -07:00
Pablo Montalvo
80b90e7b2f
Add codestral mamba2 (#32080)
* add new model like

* draft cuda forward - mismatched keys (sharding on conv1)

* match keys successfully

* fix split

* get generation/forward running (wrong gens, norm?)

* :update

* some refactoring

* fixes

* works up until copy to cache

* fix

* update

* NON WORKING VERSION

* version that work?

* nit

* fix config

* fix conversion script

* working cuda forward

* nit

* update

* simplifcation

* make mamba slow simple work

* no einops

* todo

* fix style

* no einops

* update fix no einsum

* nit

* remove einops

* bug: scan_output differs strongly

* add rms norm option

* fix fast + slow generation with and w/o cache ✔️

* draft integration tests

* remove a big chunk of the einsum

* fix slow, fast generations, without any einsum

* fix copies

* fix structure

* fix up modeling and tests

* fix tests

* clamping is indeed worse

* recover mamba2 cache test

* fix copies

* no cache position (yet)

* fix tf tests

* fix matmul for generate

* fixup

* skip cache tests for now

* [run-slow]mamba2

* tune out hidden states for padding

* test batched generation

* propagate attention mask changes

* fix past length

* fix integration test

* style

* address comments

* update readme

* add mamba2 version check

* fix tests

* [run-slow]mamba2

* skip edge tests

* [run-slow]mamba2

* last fixup

* [run-slow]mamba2

* update README

---------

Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
2024-08-06 16:39:52 +02:00
Ao Tang
6a03942db7
Add Nemotron HF Support (#31699)
* Add nemotron support

* fix inference

* add unit test

* add layernorm1p as a class to avoid meta device mismatch

* test fixed

* Add copied_from statements

* remove pretraining_tp args

* remove nemotronlayernorm

* force LN computation done in FP32

* remove nemotrontokenizer and use llamatokenizer

* license update

* add option for kv_channels for minitron8b

* remove assert

* o_proj fixed

* o_proj reshape

* add gated_proj option

* typo

* remove todos

* fix broken test after merging latest main

* remove nezha/nat after meging main

* chnage default config to 15b model

* add nemo conversion script

* rename conversion script

* remove gate_proj option

* pr comment resolved

* fix unit test

* rename kv_channels to head_dim

* resolve PR issue

* add nemotron md

* fix broken tests

* refactor rope for nemotron

* test fix

* remove linearscaling

* whitespace and import

* fix some copied-from

* code style fix

* reformatted

* add position_embedding to nemotronattention

* rope refactor to only use config, copied-from fix

* format

* Run make fix-copies

* nemotron md with autodoc

* doc  fix

* fix order

* pass check_config_docstrings.py

* fix config_attributes

* remove all llama BC related code

* Use PreTrainedTokenizerFast

* ruff check examples

* conversion script update

* add nemotron to toctree
2024-08-06 15:42:05 +02:00
Francisco Kurucz
13dc6b0853
Fix documentation links and code reference to model llava-next (#32434) 2024-08-05 15:14:50 -07:00
Raushan Turganbay
2af199c42b
Update docs (#32368)
nits
2024-08-02 09:54:16 +05:00
Sanchit Gandhi
e234061cdd
[whisper] compile compatibility with long-form decoding (#31772)
* [whisper] compile compatibility with long-form decoding

* clarify comment

* fix after rebase

* finalise

* fix bsz

* fix cache split

* remove contiguous

* style

* finish

* update doc

* prevent cuda graph trace
2024-08-01 18:10:56 +08:00
Pavel Iakubovskii
9d6c0641c4
Fix code snippet for Grounding DINO (#32229)
Fix code snippet for grounding-dino
2024-07-25 19:20:47 +01:00
Dr. Artificial曾小健
5f4ee98a7a
Update qwen2.md (#32108)
* Update qwen2.md

outdated description

* Update qwen2.md

amended

* Update qwen2.md

Update

* Update qwen2.md

fix wrong version code, now good to go
2024-07-24 11:54:41 +01:00
Raushan Turganbay
3aefb4ec7f
LLaVaNeXT: pad on right if training (#32134)
* pad on right if training

* docs

* add tests
2024-07-23 10:23:55 +05:00
James Thewlis
251a2409c6
Add llama3-llava-next-8b to llava_next conversion script (#31395)
* Add llama3-llava-next-8b to llava_next conversion script

Adds support for the lmms-lab/llama3-llava-next-8b model to the
convert_llava_next_weights_to_hf.py script, along with an example
prompt generated from the llava_llama_3 conv_template in the LLaVA-NeXT
repo.

* Exclude <|begin_of_text|> from prompt example

This token gets added automatically, so it should not be included in the
prompt example.

* Add llava-next-72b and llava-next-110b

Adds the Qwen-based LLaVA-Next models to the conversion script, along
with changes to load the models on multiple GPUs for inference.

* Add llama3 and qwen prompt formats to docs

* Chat prompt and padding side left for llama3 batched

* update

* Update src/transformers/models/llava_next/convert_llava_next_weights_to_hf.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/convert_llava_next_weights_to_hf.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove code

* better naming

---------

Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-23 10:12:16 +05:00
Bertrand Thia
7987710696
[RoBERTa] Minor clarifications to model doc (#31949)
* minor edits and clarifications

* address comment

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-07-22 10:08:27 -07:00
Lucain
f2a1e3ca68
Mention model_info.id instead of model_info.modelId (#32106) 2024-07-22 14:14:47 +01:00
Raushan Turganbay
fe008d6ebe
Chameleon: not supported with fast load (#32091)
fixes
2024-07-19 19:21:45 +05:00
Merve Noyan
4bd8f12972
Fixes to chameleon docs (#32078)
* Fixes

* Let's not use auto
2024-07-19 12:50:34 +01:00
Raushan Turganbay
e316c5214f
VideoLLaVa: fix chat format in docs (#32083)
fix chat format
2024-07-19 15:38:01 +05:00
NielsRogge
56a7745704
[Chameleon, Hiera] Improve docs (#32038)
* Improve docs

* Fix docs

* Fix code snippet
2024-07-19 11:20:03 +03:00
Raushan Turganbay
b873234cb6
Llava: add default chat templates (#31691)
* add default chat templates

* Update src/transformers/models/llava/processing_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/processing_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* more clear docstring and docs

* Update docs/source/en/model_doc/llava.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/vipllava.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add tests

* remove default templates (see #31733)

* load chat template from another file

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* revert some changes in docs

* forgot vipllava

* chat template file is not temporary hack

* warn if loading from processor

* not that file

* similarly modify `save_pretrained`

* Update tests/models/llava_next/test_processor_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vipllava/test_processor_vipllava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/vipllava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/processing_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/processing_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/vipllava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/processing_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2024-07-19 10:08:56 +05:00
Raushan Turganbay
673d30b826
Chameleon: minor fixes after shipping (#32037)
* fix merging

* make chameleon conditional
2024-07-18 16:54:07 +05:00
Pavel Iakubovskii
1c37e8c1a6
Add sdpa and FA2 for CLIP (#31940)
* Squashed commit of the following:

commit 102842cd477219b9f9bcb23a0bca3a8b92bd732f
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Fri Jul 12 18:23:52 2024 +0000

    Add model-specific sdpa tests

commit 60e4c88581abf89ec098da84ed8e92aa904c997d
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Fri Jul 12 18:20:53 2024 +0000

    Add fallback to eager (expensive operation)

commit c29033d30e7ffde4327e8a15cbbc6bee37546f80
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Thu Jul 11 17:09:55 2024 +0000

    Fix attn_implementation propagation

commit 783aed05f0f38cb2f99e758f81db6838ac55b9f8
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:05:27 2024 +0530

    style

commit e77e703ca75d00447cda277eca6b886cd32bddc0
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:04:57 2024 +0530

    add comment to explain why I had to touch forbidden codebase.

commit ab9d8849758e7773a31778ccba71588d18552623
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:03:02 2024 +0530

    fix: flax attribute access.

commit c570fc0abf9d1bd58c291aae3c7e384f995996d2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 08:23:54 2024 +0530

    fix tensorflow attribute name.

commit 32c812871cfdb268d8a6e3e2c61c5c925c8ed47e
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 07:57:10 2024 +0530

    fix attribute access.

commit 4f41a0138b6c417aed9c9332278f8bcd979cb7c2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 07:44:02 2024 +0530

    _from_config.

commit 35aed64ff602422adcf41d7f677a0a24bd9eccae
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 18:46:52 2024 +0530

    propagation of attn_implementation.

commit 4c25c19845438b1dc1d35a5adf9436151c8c5940
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:24:36 2024 +0530

    style again

commit 5f7dc5c5015c0f8116408f737e8c318d1802c80c
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:19:05 2024 +0530

    use from_config.

commit b70c409956d0359fa6ae5372275d2a20ba7e3389
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:13:43 2024 +0530

    quality

commit a7b63beff53d0fc754c6564e2a7b51731ddee49d
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 14:35:10 2024 +0200

    add benchmark numbers

commit 455b0eaea50862b8458c8f422b60fe60ae40fdcb
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:50:16 2024 +0200

    Revert "reflect feedback more"

    This reverts commit dc123e71ef.

commit ca674829d28787349c2a9593a14e0f1d41f04ea4
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:50:05 2024 +0200

    Revert "fix"

    This reverts commit 37a1cb35b8.

commit fab2dd8576c099eb1a3464958cb206a664d28247
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:47:46 2024 +0200

    fix

commit fbc6ae50fd6f2d36294d31e191761631b701d696
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:38:30 2024 +0200

    reflect feedback more

commit 87245bb020b2d60a89afe318a951df0159404fc9
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 08:54:34 2024 +0530

    fixes

commit 1057cc26390ee839251e7f8b3326c4207595fb23
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:49:03 2024 +0530

    don't explicit set attn_implementation in tests

commit e33f75916fc8a99f516b1cf449dbbe9d3aabda81
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:43:54 2024 +0530

    explicitly override attn_implementation in the towers.

commit 4cf41cb1bc885c39df7cb8f2a0694ebf23299235
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:38:42 2024 +0530

    import in one-line.

commit f2cc447ae9e74ccfacb448140cdf88259d4afc8c
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:34:58 2024 +0530

    move sdpa mention to usage tips.

commit 92884766c64dbb456926a3a84dd427be1349fa95
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 29 10:58:26 2024 +0530

    fix: memory allocation problem.

commit d7ffbbfe12f7750b7d0a361420f35c13e0ea787d
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 29 09:56:59 2024 +0530

    fix-copies

commit 8dfc3731cedd02e36acd3fe56bb2e6d61efd25d8
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri Apr 26 20:16:12 2024 +0530

    address arthur's comments.

commit d2ed7b4ce4ff15ae9aa4d3d0500f1544e3dcd9e9
Author: Sayak Paul <spsayakpaul@gmail.com>
Date:   Fri Apr 26 20:08:15 2024 +0530

    Apply suggestions from code review

    Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

commit 46e04361f37ded5c522ff05e9f725b9f82dce40e
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:55:27 2024 +0530

    add to docs.

commit 831629158ad40d34d8983f209afb2740ba041af2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:33:10 2024 +0530

    styling.g

commit d263a119c77314250f4b4c8469caf42559197f22
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:15:20 2024 +0530

    up

commit d44f9d3d7633d4c241a737a1bc317f791f6aedb3
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 18:40:42 2024 +0530

    handle causal and attention mask

commit 122f1d60153df6666b634a94e38d073f3f260926
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 15:18:21 2024 +0530

    test fixes.

commit 4382d8cff6fa1dee5dbcf0d06b3e2841231e36f5
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 09:39:25 2024 +0530

    fix: scaling inside sdpa.

commit 0f629989efc48b7315cf19405a81e02955efe7e5
Author: Sayak Paul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 08:14:58 2024 +0530

    Update src/transformers/models/clip/modeling_clip.py

    Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

commit 14367316877dc27ea40f767ad1aee38bbc97e4ce
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 22 16:21:36 2024 +0530

    add: sdpa support to clip.

* Remove fallback for empty attention mask (expensive operation)

* Fix typing in copies

* Add flash attention

* Add flash attention tests

* List CLIP in FA docs

* Fix embeddings attributes and tf

* [run-slow] clip

* Update clip documentation

* Remove commented code, skip compile dynamic for CLIPModel

* Fix doc

* Fix doc 2

* Remove double transpose

* Add torch version check for contiguous()

* Add comment to test mixin

* Fix copies

* Add comment for mask

* Update docs

* [run-slow] clip
2024-07-18 10:30:37 +05:30
Raushan Turganbay
24cfcc2114
Chameleon: add model (#31534)
* Chameleon model integration

Co-authored-by: Jacob Kahn <jacobkahn1@gmail.com>
Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com>

* fix 7B, again. mask away image tokens

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* remove pretrained_config_map

* make fixup passing up to utils/check_config_docstrings.py; vqgan moved to the modeling file

* remove tokenizer (use llama's); remove codechameleon tests

* a few copied from statements and minor changes

* copied from in ChameleonModel

* some copies in ChameleonForCausalLM

* a few more copies

* VQModel moved to ChameleonModel (as opposed to being in the processor)

* ChameleonProcessor ready

* Fix chameleon weights convert

* update conversion script

* clean-up processing

* update modeling a bit

* update

* update (throws error...)

* correct conversion ready

* fix tests

* fix docs

* docs

* ve swin norm

* fix device for vocab map

* add normalization

* update

* update script with rope rotations

* final fix on model conversion

* add slow tests

* more info in docs

* fix repo consistency tests

* fix repo tests

* fix-copies

* hope this will make CI happy

* fix for 30b model

* Update docs/source/en/index.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/modeling_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/chameleon.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/auto/configuration_auto.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/image_processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/image_processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/image_processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/image_processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/modeling_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/chameleon/processing_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/chameleon/test_modeling_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/chameleon/test_modeling_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/chameleon/test_modeling_chameleon.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* address comments

* remove assertion in conversion script

* add image processor test

* not copied

* port changes for qk layernorm

* fix-copies

* read token decorator for tests

* [run-slow] chameleon

* one more read-token

* address some comments

* qk norm changes

* tests and repo check

* moved rope permutations to conversion, YAY!

* fix past kv check

* docs

* layernorm done!

* let's be consistent in naming

* fix slow tests

* weird thing with slow CI, but let's see

* once more try

* remove past-kv as tuple following llama

* ignore

* style

---------

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: jacobkahn <jacobkahn1@gmail.com>
Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com>
Co-authored-by: Leonid Shamis <lshamis@meta.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-17 10:41:43 +05:00
Naman Garg
c1e139c2b0
Adding hiera (#30356)
* initialized Structure

* Updated variable names

* Added Config class, basic HF setup, convert_to_hf

* Fixed Convert function, added hiera to HF files, Initilized test files

* better naming for x in forward pass

* Moved utils to hiera

* Change hiera -> hiera_model

* Fixed integration into tranformers

* Fix: Convert Checkpoint

* added documentation for hiera

* added documentation for hiera

* added Docstings to models, Transformers based changes

* make style and quality

* make style and quality

* Integration & Block tests running

* Fixed bugs

* initialized Structure

* Updated variable names

* Added Config class, basic HF setup, convert_to_hf

* Fixed Convert function, added hiera to HF files, Initilized test files

* better naming for x in forward pass

* Moved utils to hiera

* Change hiera -> hiera_model

* Fixed integration into tranformers

* Fix: Convert Checkpoint

* added documentation for hiera

* added documentation for hiera

* added Docstings to models, Transformers based changes

* make style and quality

* make style and quality

* Integration & Block tests running

* Fixed bugs

* Removed tim dependency

* added HieraBlock

* fixed: Model name

* added tests for HieraModel, HieraBlock

* fixed imports

* fixed quality & copies

* Fixes

* Update docs/source/en/model_doc/hiera.md

Fix name

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/model_doc/hiera.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/model_doc/hiera.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/configuration_hiera.py

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/configuration_hiera.py

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Fixed formatting

* Code quality & Import differences

* quality and repo-consistency fix

* fixed no torch error

* Docstring fix

* Docstring fix

* doc string fix

* fixed example usage

* Resolved issues in modeling_hiera

* Removed Hiera MAE

* Added test and resolved bug

* fixed doc string

* First commit

* Finished conversion script and model forward working

* Resolved all issues

* nits

* Improving tests

* Nits

* More nits

* Improving HieraForMaskedImageModeling

* More improvements and nits

* Fixed docstrings of outputs

* More fixes

* More imrpovments

* Updated conversion script

* Fixed docstrings

* Improved tests

* Fixed attentou outputs test

* All tests green

* Removed unnecessary file

* contribution attribution

* Resolved a few issues

* Resolved Comments

* Updated model repo id and fixed bugs

* Removed loss print

* Make tests green

* Updated docstrings

* Fix style

* Fixed num_heads in config

* Removed unnecessary video checkpoint related code in the conversion script

* Fix style

* Changed atol in conversion script

* HieraConfig

* Fix copies

* Fixed typo

* Resolved few issues

* make

* converted conv_nd -> nn.Module

* Removed video complexities

* Removed video complexities

* fix style

* Addressing comments

* Update src/transformers/models/hiera/modeling_hiera.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix style

* Fixed tests

* Fixed typo

* Fixed interpolate test

* Made torch fx compatible

* Made sure imageprocesor is correct

* Addressed comments

* Noise directly as torch

* Remove unnecesary attr

* Added return_dit

* Update src/transformers/models/hiera/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Updated checkpoints

* [run_slow] hiera

* Fixed device mismatch

* [run_slow] hiera

* Fixed GPU tests

* [run_slow] hiera

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-50.us-east-2.compute.internal>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Eduardo Pacheco <eduardo.pach@hotmail.com>
Co-authored-by: Eduardo Pacheco <69953243+EduardoPach@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-11 22:13:56 +01:00
NielsRogge
ec03d97b27
[RT-DETR] Add resources (#31815)
* Add resources

* Address comments
2024-07-10 16:34:53 +01:00
Raushan Turganbay
97aa3e2905
Add conversion for interleave llava (#31858)
* add conversion for interleave llava

* remove debug lines

* remove unused imports

* Update src/transformers/models/llava/convert_llava_weights_to_hf.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* small changes + docs

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-10 12:12:21 +05:00
hatti
350aed7076
chore: remove duplicate words (#31853)
remove duplicate words
2024-07-09 10:38:29 +01:00
Pavel Iakubovskii
a177821b24
Add FA2 and sdpa support for SigLIP (#31499)
* Rebase to main

* Fix attention implementation autoset for tex and vision configs

* Fixup

* Minor fixes

* Fix copies

* Fix attention_mask for FA2

* Add eqvivalence tests for siglip

* Remove right padding test

* Uncomment flaky

* Fix import

* Add to docs

* Fix test message

* Add sdpa

* Add sdpa equivalence test

* Add siglip sdpa to docs

* Fix typing for attention output

* Add sdpa tests

* Fix signature of FA2

* Autoset attn_implementation in config

* Rename bsz -> batch_size

* Move back autoset attn method

* Mark as flaky

* Correct attention mask padding

* [run-slow] siglip

* Add FA2 and sdpa docs

* Style fix

* Remove flaky for FA2 test

* Change attention implementation set

* Change attn_implementaiton propogation

* Fix typos

* Add modality to assert message

* Add more sdpa backends in test

* [run slow] siglip

* Add math sdpa backend for all options

* [run slow] siglip
2024-07-08 11:10:02 +01:00
NielsRogge
06fd7972ac
Add ZoeDepth (#30136)
* First draft

* Add docs

* Clean up code

* Convert model

* Add image processor

* Convert Zoe_K

* More improvements

* Improve variable names and docstrings

* Improve variable names

* Improve variable names

* Replace nn.sequential

* More improvements

* Convert ZoeD_NK

* Fix most tests

* Verify pixel values

* Verify pixel values

* Add squeeze

* Update beit to support arbitrary window sizes

* Improve image processor

* Improve docstring

* Improve beit

* Improve model outputs

* Add figure

* Fix beit

* Update checkpoint

* Fix repo id

* Add _keys_to_ignore_on_load_unexpected

* More improvements

* Address comments

* Address comments

* Address comments

* Address comments

* Rename variable name

* Add backbone_hidden_size

* Vectorize

* Vectorize more

* Address comments

* Clarify docstring

* Remove backbone_hidden_size

* Fix image processor

* Remove print statements

* Remove print statement

* Add integration test

* Address comments

* Address comments

* Address comments

* Address comments

* Add requires_backends

* Clean up

* Simplify conversion script

* Simplify more

* Simplify more

* Simplify more

* Clean up

* Make sure beit is loaded correctly

* Address comment

* Address bin_configurations

* Use bin_configurations

* Convert models, add integration tests

* Fix doc test

* Address comments

* Unify regressor classes

* Clarify arguments

* Improve resize_image

* Add num_relative_features

* Address comment

* [run-slow]beit,data2vec,zoedepth

* [run-slow]beit,data2vec,zoedepth

* Address comments

* Address comment

* Address comment

* Replace nn.TransformerEncoderLayer and nn.TransformerEncoder

* Replace nn.MultiheadAttention

* Add attributes for patch transformer to config

* Add tests for ensure_multiple_of

* Update organization

* Add tests

* [run-slow] beit data2vec

* Update ruff

* [run-slow] beit data2vec

* Add comment

* Improve docstrings, add test

* Fix interpolate_pos_encoding

* Fix slow tests

* Add docstring

* Update src/transformers/models/zoedepth/image_processing_zoedepth.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/zoedepth/image_processing_zoedepth.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Improve tests and docstrings

* Use run_common_tests

* Improve docstrings

* Improve docstrings

* Improve tests

* Improve tests

* Remove print statements

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-08 11:43:33 +02:00
Pedro Cuenca
1082361a19
Depth Anything: update conversion script for V2 (#31522)
* Depth Anything: update conversion script for V2

* Update docs

* Style

* Revert "Update docs"

This reverts commit be0ca47ea1.

* Add docs for depth anything v2

* Add depth_anything_v2 to MODEL_NAMES_MAPPING

Done similarly to Flan-T5: https://github.com/huggingface/transformers/pull/19892/files

* Add tip in original docs
2024-07-05 19:28:41 +01:00
Billy Cao
1d3eaa6f7e
Add training support for SigLIP (#31495)
* Add siglip loss function

* Update docs

* Enable training tests
[experimental] enable GC training tests as it has worked for my own data

* Remove test_training* overrides to enable training tests
[run_slow] siglip

* Skip training tests for Siglip text model and ImageClassificationModel
[run_slow] siglip

* Skip GC training tests for SiglipForImageClassification

* Explicitly skip training tests for SiglipVisionModel
Add skip reason for training tests for SiglipTextModel

* Remove copied from to fix CI
2024-07-05 14:50:39 +01:00
Jörg Bornschein
f91c16d270
Fix documentation for Gemma2. (#31682)
* Fix documentation for Gemma2. 

Model sizes and Blog post URL are wrong in the documentation.

* Update docs/source/en/model_doc/gemma2.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-02 23:04:53 +01:00
Sanchit Gandhi
a9701953ff
[whisper] static kv cache (#31166)
* make work with cache abstraction

* correct for static cache

* hacks for compile

* make fast

* fix

* fix pos ids

* generate

* fix sdpa

* fix sdpa cache pos

* fix fa2

* clean fa2

* integrate cache into generate

* make style

* copies

* more copies

* update eager

* update sdpa

* update fa2

* simplify

* use cache pos

* always compute cross-cache for debug

* avoid recompiles
Co-authored-by: Arthur Zucker <arthur@huggingface.co>

* fix fix

* fix fix fix

* more fix

* try encoder-decoder cache (too messy)

* revert encoder-decoder cache

* check cross-attn cache

* use enc-dec dataclass

* use richer enc-dec dataclass

* clean-up

* revert static cache changes

* small fixes

* revert to cpu flag

* fix copies

* add static slow test

* past k/v docstring

* more docstrings

* cache_position docstrings

* add to docs

* add enc-dec cache to docs

* make style

* fix after rebase

* fix beam

* style

* fix generation strategies

* fix most decoder-only tests

* style

* skip test

* more clean up

* small docstrings

* Apply suggestions from code review

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add todo

* only crop self-attn

* check cache in mixin

* style

* fix re-compile after rebase

* move `is_updated` logic to enc-dec wrapper

* revert back

* revert cache back

* finalise design

* fix

* fix fix

* style

* Update src/transformers/cache_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* deprecate

* updates

* final updates

* style

* style

---------

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-07-02 13:24:15 +01:00
Steven Liu
464aa74659
[docs] Llama3 (#31662)
quick usage to top
2024-06-27 10:32:51 -07:00
Arthur
0cf60f13ab
Add gemma 2 (#31659)
* inital commit

* Add doc

* protect?

* fixup stuffs

* update tests

* fix build documentation

* mmmmmmm config attributes

* style

* nit

* uodate

* nit

* Fix docs

* protect some stuff

---------

Co-authored-by: Lysandre <lysandre@huggingface.co>
2024-06-27 17:36:19 +02:00
Raushan Turganbay
e71f2863d7
Add LLaVa NeXT Video (#31252)
* squash into single commit

* run diff once more

* docstring

* tests

* minor chnages and ready to go

* Update src/transformers/models/llava_next_video/processing_llava_next_video.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vipllava/test_modeling_vipllava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [run-slow] llava-next-video

* [run-slow] llava-next-video

* [run-slow] llava_next_video

* fix two tests

* fix slow tests

* remove logit checks due to numeric errors

* run test once more

* [run-slow] llava_next_video

* final try to pass the test

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* style

* fix

* style

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-06-26 21:52:28 +05:00
Pavel Iakubovskii
ac52084bf2
Update RT-DETR code snippet (#31631)
Update code snippet
2024-06-26 14:42:20 +01:00
Anton Vlasjuk
b07770c5eb
[GPT-NeoX] Add SDPA support (#31031)
* starting support for sdpa in `gptneox` models

* small comment on tests

* fix dropout

* documentation and style

* clarify concrete paths for reference

* generalise attn projections and rope application

added head mask check to sdpa mask creation

handle sdpa memory backend bug via own version flag

* update docs and style

* move dtype casting outside of general attn_projection_and_rope function

fix flash_attn_2 stuff

* more generic attn warning if output_attns or head_mask

* simplify head mask check by moving head mask creation to a later point

* remove copied llama artifact

* remove padding_mask from attention function signature

* removing unnecessary comments, only "save" attn implementation once

* [run_slow] gpt_neox
2024-06-26 13:56:36 +01:00
Raushan Turganbay
fc689d75a0
Add video modality for InstrucBLIP (#30182)
* squash in single commit

* add docs

* dummy obj

* more changes in diff converter

* tiny fix

* make docs happy

* skip test

* repo consistency tests

* update docstring

* style

* fix tests

* change diff imports

* [run-slow] instructblipvideo

* [run-slow] instructblipvideo

* fix tests and remove logit check

* [run-slow] instructblipvideo
2024-06-25 15:45:39 +05:00
Sangbum Daniel Choi
74a207404e
New model support RTDETR (#29077)
* fill out docs string in configuration
75dcd3a0e8 (r1506391856)

* reduce the input image size for the tests

* remove the unappropriate tests

* only 5 failes exists

* make style

* fill up missed architecture for object detection in docs

* fix auto modeling

* simple fix in missing import

* major change including backbone refactor and objectdetectionoutput refactor

* minor fix only 4 fails left

* intermediate fix

* revert __init__.py

* revert __init__.py

* make style

* fixes in pr_docs

* intermediate fix

* make style

* two fixes

* pass doctest

* only one fix left

* intermediate commit

* all fixed

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/convert_rt_detr_original_pytorch_checkpoint_to_pytorch.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/rt_detr/test_modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* function class above the model definition in dice_loss

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* simple fix

* layernorm add config.layer_norm_eps

* fix inputs_docstring

* make style

* simple fix

* add custom coco loading test in image_processor

* fix error in BaseModelOutput
https://github.com/huggingface/transformers/pull/29077#discussion_r1516657790

* simple typo

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* intermediate fix

* fix with load_backbone format

* remove unused configuration

* 3 fix test left

* make style

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: Sounak Dey <dey.sounak@gmail.com>

* change last_hidden_state to first index

* all pass fix
TO DO: minor update in comments

* make fix-copies

* remove deepcopy

* pr_document fix

* revert deepcopy due to the issue of unexpceted behavior in decoderlayer

* add atol in final

* add no_split_module

* _no_split_modules = None

* device transfer for model parallelism

* minor fix

* make fix-copies

* fix typo

* add test_image_processor with post_processing

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add config in RTDETRPredictionHead

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set lru_cache with max_size 32

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add lru_cache import and configuration change

* change the order of definition

* make fix-copies

* add docs and change config error

* revert strange make-fix

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* test pass

* fix get_clones related and remove deepcopy

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* nit for paper section

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename denoising related parameters

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* check the image transformation logic

* make style

* make style

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* pe_encoding -> positional_encoding_temperature

* remove TODO

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* remove eval_idx since transformer DETR is giving all decoder output

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* change variable name

* make style and docs import update

* Revert "Update src/transformers/models/rt_detr/image_processing_rt_detr.py"

This reverts commit 74aa3e1de0.

* fix typo

* add postprocessing in docs

* move import scipy to top

* change varaible name

* make fix-copies

* remove eval_idx in test

* move to after first sentence

* update image_processor since box loss requires normalized one

* change appropriate name to auxiliary_outputs

* Update src/transformers/models/rt_detr/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/rt_detr.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/rt_detr.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* make style

* remove panoptic related comments

* make style

* revert valid_processor_keys

* fix aux related test

* make style

* change origination from config to backbone API

* enable the dn_loss

* fix test and conversion

* renewal weight initialization

* change initializer_range

* make fix-up

* fix the loss issue in the auxiliary output and denoising part

* change weight loss to original RTDETR

* fix in initialization

* sync shape format of dn and aux

* make style

* stable fine-tuning and compatible conversion for resnet101

* make style

* skip input_embed

* change encoder related variable

* enable converting rtdetr_r101

* add r101 related conversion code

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/rt_detr.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change name _shape to _reshape

* Update src/transformers/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* maket style

* make fix-copies

* remove deprecated import

* more fix

* remove last_hidden_state for task-specific model

* Revert "remove last_hidden_state for task-specific model"

This reverts commit ccb7a34051.

* minore change in convert

* remove print

* make style and fix-copies

* add custom rtdetr backbone for r18, r34

* remove print

* change copied

* add pad_size

* make style

* change layertype to optional to pass the CI

* make style

* add test in modeling_resnet_rt_detr

* make fix-copies

* skip tmp file test

* fix comment

* add docs

* change to modeling_resnet file format

* enabling resnet50 above

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

Co-authored-by: Jason Wu <jasonkit@users.noreply.github.com>

* enable all the rtdetr model :)

* finish except CI

* add RTDetrResNetBackbone

* make fix-copies

* fix
TO DO: CI enable

* make style

* rename test

* add docs

* add special fix

* revert resnet

* Update src/transformers/models/rt_detr/modeling_rt_detr_resnet.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add more comment

* remove swin comment

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename convert and add verify backbone

* Update docs/source/en/_toctree.yml

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/rt_detr.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/rt_detr.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* make style

* requests for docs

* more general test docs

* general script docs

* make fix-copies

* final commit

* Revert "Update src/transformers/models/rt_detr/configuration_rt_detr.py"

This reverts commit d136225cd3.

* skip test_model_get_set_embeddings

* remove target

* add changes

* make fix-copies

* remove decoder_attention_mask

* add load_backbone function for auto_backbone

* remove comment

* fix repo name

* Update src/transformers/models/rt_detr/configuration_rt_detr.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* final commit

* remove unused downsample_in_bottleneck

* new test for autobackbone

* change to appropriate indices

* test fix

* fix dict in test_image_processor

* fix test

* [run-slow] rt_detr, rt_detr_resnet

* change the slow test

* [run-slow] rt_detr

* [run-slow] rt_detr, rt_detr_resnet

* make in to same cuda in CSPRepLayer

* [run-slow] rt_detr, rt_detr_resnet

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sounak Dey <dey.sounak@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Jason Wu <jasonkit@users.noreply.github.com>
Co-authored-by: ChoiSangBum <choisangbum@ChoiSangBumui-MacBookPro.local>
2024-06-21 17:50:08 +01:00
Billy Cao
cd5f7c1790
Add docs on zeroshot image classification prompt templates (#31343)
* Add docs on pipeline templates

* Fix example and comments
Update usage tips

* Update docs/source/en/tasks/zero_shot_image_classification.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/siglip.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Trigger CI

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-06-19 11:11:44 +01:00
Anton Vlasjuk
b275a41005
[GPT2] Add SDPA support (#31172)
* `gpt2` sdpa support

* fix (at least) one test, style, repo consistency

* fix sdpa mask in forward --> fixes generation

* test

* test2

* test3

* test4

* simplify shapes for attn mask creation and small comments

* hub fail test

* benchmarks

* flash attn 2 mask should not be inverted on enc-dec setup

* fix comment

* apply some suggestion from code review

- only save _attn_implentation once
- remove unnecessary comment

* change elif logic

* [run-slow] gpt2

* modify `test_gpt2_sample_max_time` to follow previous assertion patterns
2024-06-19 09:40:57 +02:00
amyeroberts
f53fe35b29
Fast image processor (#28847)
* Draft fast image processors

* Draft working fast version

* py3.8 compatible cache

* Enable loading fast image processors through auto

* Tidy up; rescale behaviour based on input type

* Enable tests for fast image processors

* Smarter rescaling

* Don't default to Fast

* Safer imports

* Add necessary Pillow requirement

* Woops

* Add AutoImageProcessor test

* Fix up

* Fix test for imagegpt

* Fix test

* Review comments

* Add warning for TF and JAX input types

* Rearrange

* Return transforms

* NumpyToTensor transformation

* Rebase - include changes from upstream in ImageProcessingMixin

* Safe typing

* Fix up

* convert mean/std to tesnor to rescale

* Don't store transforms in state

* Fix up

* Update src/transformers/image_processing_utils_fast.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Warn if fast image processor available

* Update src/transformers/models/vit/image_processing_vit_fast.py

* Transpose incoming numpy images to be in CHW format

* Update mapping names based on packages, auto set fast to None

* Fix up

* Fix

* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test

* Update src/transformers/models/vit/image_processing_vit_fast.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Add equivalence and speed tests

* Fix up

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
2024-06-11 15:47:38 +01:00
Pavel Iakubovskii
517df566f5
Decorators for deprecation and named arguments validation (#30799)
* Fix do_reduce_labels for maskformer image processor

* Deprecate reduce_labels in favor to do_reduce_labels

* Deprecate reduce_labels in favor to do_reduce_labels (segformer)

* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)

* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)

* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)

* Fix typo

* Update mask2former test

* fixup

* Update segmentation examples

* Update docs

* Fixup

* Imports fixup

* Add deprecation decorator draft

* Add deprecation decorator

* Fixup

* Add deprecate_kwarg decorator

* Validate kwargs decorator

* Kwargs validation (beit)

* fixup

* Kwargs validation (mask2former)

* Kwargs validation (maskformer)

* Kwargs validation (oneformer)

* Kwargs validation (segformer)

* Better message

* Fix oneformer processor save-load test

* Update src/transformers/utils/deprecation.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Better handle classmethod warning

* Fix typo, remove warn

* Add header

* Docs and `additional_message`

* Move to filter decorator ot generic

* Proper deprecation for semantic segm scripts

* Add to __init__ and update import

* Basic tests for filter decorator

* Fix doc

* Override `to_dict()` to pop depracated `_max_size`

* Pop unused parameters

* Fix trailing whitespace

* Add test for deprecation

* Add deprecation warning control parameter

* Update generic test

* Fixup deprecation tests

* Introduce init service kwargs

* Revert popping unused params

* Revert oneformer test

* Allow "metadata" to pass

* Better docs

* Fix test

* Add notion in docstring

* Fix notification for both names

* Add func name to warning message

* Fixup

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
2024-06-10 12:35:10 +01:00
Vaibhav Srivastav
4a6024921f
doc: add info about wav2vec2 bert in older wav2vec2 models. (#31120)
* doc: add info about wav2vec2 bert in older wav2vec2 models.

* apply suggestions from review.

* forward contrib credits from review

---------

Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.github.com>
2024-06-05 11:56:11 +01:00
Younes Belkada
485d913dfb
Blip: Deprecate BlipModel (#31235)
* deprecate blip

* mention deprecation on docs
2024-06-04 18:29:45 +02:00
Pavel Iakubovskii
cdc813113a
Instance segmentation examples (#31084)
* Initial setup

* Metrics

* Overfit on two batches

* Train 40 epochs

* Memory leak debugging

* Trainer fine-tuning

* Draft

* Fixup

* Trained end-to-end

* Add requirements

* Rewrite evaluator

* nits

* Add readme

* Add instance-segmentation to the table

* Support void masks

* Remove sh

* Update docs

* Add pytorch test

* Add accelerate test

* Update examples/pytorch/instance-segmentation/README.md

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py

* Fix consistency oneformer

* Fix imports

* Fix imports sort

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py

Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>

* Add resources to docs

* Update examples/pytorch/instance-segmentation/README.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/pytorch/instance-segmentation/README.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Remove explicit model_type argument

* Fix tests

* Update readme

* Note about other models

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-31 16:56:17 +01:00
Asif Ajrof
bd9d1ddf41
Update sam.md (#31130)
`mask` variable is not defined. probably a writing mistake. it should be `segmentation_map`. `segmentation_map` should be a `1` channel image rather than `RGB`.
[on a different note, the `mask_url` is the same as `raw_image`. could provide a better example.
2024-05-31 12:34:29 +02:00
amyeroberts
a564d10afe
Deprecate low use models (#30781)
* Deprecate models
- graphormer
- time_series_transformer
- xlm_prophetnet
- qdqbert
- nat
- ernie_m
- tvlt
- nezha
- mega
- jukebox
- vit_hybrid
- x_clip
- deta
- speech_to_text_2
- efficientformer
- realm
- gptsan_japanese

* Fix up

* Fix speech2text2 imports

* Make sure message isn't indented

* Fix docstrings

* Correctly map for deprecated models from model_type

* Uncomment out

* Add back time series transformer and x-clip

* Import fix and fix-up

* Fix up with updated ruff
2024-05-28 18:07:07 +01:00
NielsRogge
90da0b1c9f
[SuperPoint, PaliGemma] Update docs (#31025)
* Update docs

* Add PaliGemma resources

* Address comment

* Update docs
2024-05-28 13:22:06 +02:00
Eitan Turok
0a064dc0fc
Follow up: Fix link in dbrx.md (#30514)
* Fix link in dbrx.md

* remove "though this may not be up to date"

---------

Co-authored-by: Lysandre Debut <hi@lysand.re>
2024-05-27 14:57:43 +02:00
Aritra Roy Gosthipaty
965e98dc54
[Port] TensorFlow implementation of Mistral (#29708)
* chore: initial commit

* chore: adding imports and inits

* chore: adding the causal and classification code

* chore: adding names to the layers

* chore: using single self attn layer

* chore: built the model and layers

* chore: start with testing

* chore: docstring change, transpose fix

* fix: rotary embedding

* chore: adding cache implementation

* remove unused torch

* chore: fixing the indexing issue

* make fix-copies

* Use modeling_tf_utils.keras

* make fixup

* chore: fixing tests

* chore: adding past key value logic

* chore: adding multi label classfication test

* fix: switching on the built parameters in the layers

* fixing repo consistency

* ruff formats

* style changes

* fix: tf and pt equivalence

* removing returns from docstrings

* fix docstrings

* fix docstrings

* removing todos

* fix copies

* fix docstring

* fix docstring

* chore: using easier rotate_half

* adding integration tests

* chore: addressing review related to rotary embedding layer

* review changes

* [run-slow] mistral

* skip: test save load after resize token embedding

* style

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Co-authored-by: Matt <rocketknight1@gmail.com>
2024-05-23 17:48:49 +01:00
Vaibhav Srivastav
24d2a5e1a3
[doc] Add references to the fine-tuning blog and distil-whisper to Whisper. (#30938)
[doc] Add references to the fine-tuning blog and distil-whisper to Whisper doc.
2024-05-22 14:06:09 +01:00
Raushan Turganbay
934e1b84e9
Update video-llava docs (#30935)
* update video-llava

* Update docs/source/en/model_doc/video_llava.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-22 16:56:41 +05:00
NielsRogge
60bb571e99
🚨 [Idefics2] Update ignore index (#30898)
* Update ignore index

* Update docs

* Update docs
2024-05-21 19:38:02 +02:00
Raushan Turganbay
5d0bf59b4d
LLaVa-Next: Update docs with batched inference (#30857)
* update docs with batch ex

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* accept nested list of img

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2024-05-20 13:45:56 +05:00
Joseph Enguehard
07bf2dff78
Add TokenClassification for Mistral, Mixtral and Qwen2 (#29878)
* Add MistralForTokenClassification

* Add tests and docs

* Add token classification for Mixtral and Qwen2

* Save llma for token classification draft

* Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2

* Formatting

* Add token classification support for Qwen2Moe model

* Add dropout layer to each ForTokenClassification model

* Add copied from in tests

* Update src/transformers/models/llama/modeling_llama.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Propagate suggested changes

* Style

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-05-20 10:06:57 +02:00