Commit Graph

140 Commits

Author SHA1 Message Date
NielsRogge
868363abb9
Add InstructBLIP (#23460)
* Squash 88 commits

* Use markdown

* Remove mdx files due to bad rebase

* Fix modeling files due to bad rebase

* Fix style

* Update comment

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-06-26 11:23:57 +02:00
Matthijs Hollemans
0c3fdccf2f
[WIP] add EnCodec model (#23655)
* boilerplate stuff

* messing around with the feature extractor

* fix feature extractor

* unit tests for feature extractor

* rename speech to audio

* quick-and-dirty import of Meta's code

* import weights (sort of)

* cleaning up

* more cleaning up

* move encoder/decoder args into config

* cleanup model

* rename EnCodec -> Encodec

* RVQ parameters in config

* add slow test

* add lstm init and test_init

* Add save & load

* finish EncodecModel

* remove decoder_input_values as they are ont used anywhere (not removed from doc yet)

* fix test feature extraction model name

* Add better slow test

* Fix tests

* some fixup and cleaning

* Improve further

* cleaning up quantizer

* fix up conversion script

* test don't pass, _encode_fram does not work

* update tests with output per encode and decode

* more cleanup

* rename _codebook

* remove old config cruft

* ratios & hop_length

* use ModuleList instead of Sequential

* clean up resnet block

* update types

* update tests

* fixup

* quick cleanup

* fix padding

* more styl,ing

* add patrick feedback

* fix copies

* fixup

* fix lstm

* fix shape issues

* fixup

* rename conv layers

* fixup

* fix decoding

* small conv refactoring

* remove norm_params

* simplify conv layers

* rename conv layers

* stuff

* Clean up

* Add padding logic

use padding mask

small conv refactoring

remove norm_params

simplify conv layers

rename conv layers

stuff

add batched test

update

Clean up

merge and update for padding

fix padding

fixup

* clean up more

* clean up more

* More clean ups

* cleanup convolutions

* typo

* fix typos

* fixup

* build PR doc?

* start refactoring docstring

* fix don't pad when no strid and chunk

* update docstring

* update docstring

* nits

* update going to lunch

* update config and model

* fix broken testse (becaue of the config changes)

* fix scale computation

* fixu[

* only return dict if speciefied or if config returns it

* remove todos

* update defaults in config

* update conversion script

* fix doctest

* more docstring + fixup

* nits on batched_tests

* more nits

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update basxed on review

* fix update

* updaet tests

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fixup

* add overlap and chunl_length_s

* cleanup feature extraction

* teste edge cases truncation and padding

* correct processor values

* update config encodec, nits

* fix tests

* fixup

* fix 24Hz test

* elle tests are green

* fix fixup

* Apply suggestions from code review

* revert readme changes

* fixup

* add example

* use facebook checkpoints

* fix typo

* no pipeline tests

* use slef.pad everywhere we can

* Apply suggestions from code review

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

* update based on review

* update

* update mdx

* fix bug and tests

* fixup

* fix doctest

* remove comment

* more nits

* add more coverage for `test_truncation_and_padding`

* fixup

* add last test

* fix text

* nits

* Update tests/models/encodec/test_modeling_encodec.py

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

* take care of the last comments

* typo

* fix test

* nits

* fixup

* Update src/transformers/models/encodec/feature_extraction_encodec.py

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

---------

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: arthur.zucker@gmail.com <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-06-14 18:57:23 +02:00
Shehan Munasinghe
07c54413ac
Add MobileViTv2 (#22820)
* generated code from add-new-model-like

* Add code for modeling, config, and weight conversion

* add tests for image-classification, update modeling and config

* add code, tests for semantic-segmentation

* make style, make quality, make fix-copies

* make fix-copies

* Update modeling_mobilevitv2.py

fix bugs

* Update _toctree.yml

* update modeling, config

fix bugs

* Edit docs - fix bug MobileViTv2v2 -> MobileViTv2

* Update mobilevitv2.mdx

* update docstrings

* Update configuration_mobilevitv2.py

make style

* Update convert_mlcvnets_to_pytorch.py

remove unused options

* Update convert_mlcvnets_to_pytorch.py

make style

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style, make quality

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review

Remove MobileViTv2ImageProcessor

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style

* Add suggestions from code review

Rename MobileViTv2 -> MobileViTV2

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update modeling_mobilevitv2.py

make style

* Update serialization.mdx

* Update modeling_mobilevitv2.py

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-06-02 10:37:02 +01:00
Patrick von Platen
5dfd407b37
[MMS] Scaling Speech Technology to 1,000+ Languages | Add attention adapter to Wav2Vec2 (#23813)
* add fine-tuned with adapter layer

* Add set_target_lang to tokenizer

* Implement load adapter

* add tests

* make style

* Apply suggestions from code review

* Update src/transformers/models/wav2vec2/tokenization_wav2vec2.py

* make fix-copies

* Apply suggestions from code review

* make fix-copies

* make style again

* mkae style again

* fix doc string

* Update tests/models/wav2vec2/test_tokenization_wav2vec2.py

* Apply suggestions from code review

* fix

* Correct wav2vec2 adapter

* mkae style

* Update src/transformers/models/wav2vec2/modeling_wav2vec2.py

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

* add more nice docs

* finish

* finish

* Apply suggestions from code review

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>

* Apply suggestions from code review

* all finish

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-06-02 10:30:24 +01:00
Eli Simhayev
4b6a5a7caa
[Time-Series] Autoformer model (#21891)
* ran `transformers-cli add-new-model-like`

* added `AutoformerLayernorm` and `AutoformerSeriesDecomposition`

* added `decomposition_layer` in `init` and `moving_avg` to config

* added `AutoformerAutoCorrelation` to encoder & decoder

* removed caninical self attention `AutoformerAttention`

* added arguments in config and model tester. Init works! 😁

* WIP autoformer attention with autocorrlation

* fixed `attn_weights` size

* wip time_delay_agg_training

* fixing sizes and debug time_delay_agg_training

* aggregation in training works! 😁

* `top_k_delays` -> `top_k_delays_index` and added `contiguous()`

* wip time_delay_agg_inference

* finish time_delay_agg_inference 😎

* added resize to autocorrelation

* bug fix: added the length of the output signal to `irfft`

* `attention_mask = None` in the decoder

* fixed test: changed attention expected size, `test_attention_outputs` works!

* removed unnecessary code

* apply AutoformerLayernorm in final norm in enc & dec

* added series decomposition to the encoder

* added series decomp to decoder, with inputs

* added trend todos

* added autoformer to README

* added to index

* added autoformer.mdx

* remove scaling and init attention_mask in the decoder

* make style

* fix copies

* make fix-copies

* inital fix-copies

* fix from https://github.com/huggingface/transformers/pull/22076

* make style

* fix class names

* added trend

* added d_model and projection layers

* added `trend_projection` source, and decomp layer init

* added trend & seasonal init for decoder input

* AutoformerModel cannot be copied as it has the decomp layer too

* encoder can be copied from time series transformer

* fixed generation and made distrb. out more robust

* use context window to calculate decomposition

* use the context_window for decomposition

* use output_params helper

* clean up AutoformerAttention

* subsequences_length off by 1

* make fix copies

* fix test

* added init for nn.Conv1d

* fix IGNORE_NON_TESTED

* added model_doc

* fix ruff

* ignore tests

* remove dup

* fix SPECIAL_CASES_TO_ALLOW

* do not copy due to conv1d weight init

* remove unused imports

* added short summary

* added label_length and made the model non-autoregressive

* added params docs

* better doc for `factor`

* fix tests

* renamed `moving_avg` to `moving_average`

* renamed `factor` to `autocorrelation_factor`

* make style

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* fix configurations

* fix integration tests

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* fixing `lags_sequence` doc

* Revert "fixing `lags_sequence` doc"

This reverts commit 21e34911e3.

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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>

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* model layers now take the config

* added `layer_norm_eps` to the config

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* added `config.layer_norm_eps` to AutoformerLayernorm

* added `config.layer_norm_eps` to all layernorm layers

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* fix variable names

* added inital pretrained model

* added use_cache docstring

* doc strings for trend and use_cache

* fix order of args

* imports on one line

* fixed get_lagged_subsequences docs

* add docstring for create_network_inputs

* get rid of layer_norm_eps config

* add back layernorm

* update fixture location

* fix signature

* use AutoformerModelOutput dataclass

* fix pretrain config

* no need as default exists

* subclass ModelOutput

* remove layer_norm_eps config

* fix test_model_outputs_equivalence test

* test hidden_states_output

* make fix-copies

* Update src/transformers/models/autoformer/configuration_autoformer.py

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

* removed unused attr

* Update tests/models/autoformer/test_modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* Update src/transformers/models/autoformer/modeling_autoformer.py

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

* use AutoFormerDecoderOutput

* fix formatting

* fix formatting

---------

Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-05-30 10:23:32 +02:00
Maria Khalusova
2eaaf17a0b
Export to ONNX doc refocused on using optimum, added tflite (#23434)
* doc refocused on using optimum, tflite

* minor updates to fix checks

* Apply suggestions from code review

Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>

* TFLite to separate page, added links

* Removed the onnx list builder

* make style

* Update docs/source/en/serialization.mdx

Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>

---------

Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
2023-05-24 08:13:23 -04:00
Shehan Munasinghe
c045249049
Add swiftformer (#22686)
* Commit the automatically generated code

using add-new-model-like

* Update description at swiftformer.mdx file

* remove autogenerated code for MaskedImageModeling

* update weight conversion scripts

* Update modeling_swiftformer.py

* update configuration_swiftformer.py

* Update test_modeling_swiftformer.py

* update modeling code - remove einops dependency

* Update _toctree.yml

* update modeling code - remove copied from comments

* update docs

* Revert "update docs"

This reverts commit c2e05e2998.

* update docs

* remove unused reference SwiftFormerImageProcessor

* update dependency_versions_table.py

* update swiftformer.mdx

* update swiftformer.mdx

* change model output type - no attentions

* update model org name

* Fix typo

* fix copies

* Update tests/models/swiftformer/test_modeling_swiftformer.py

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

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

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

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

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

* Update docs/source/en/model_doc/swiftformer.mdx

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

* Update src/transformers/models/swiftformer/configuration_swiftformer.py

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>

* Apply suggestions from code review

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>

* Apply suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update modeling_swiftformer.py

fix-copies

* make style, make quality, fix-copies

* Apply suggestions from code review

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>

* make style

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make fix-copies

* Update modeling_swiftformer.py

* Update modeling_swiftformer.py

* Add suggestions from code review

Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-05-12 11:52:31 +01:00
Sylvain Gugger
f93509b114
Refine documentation for Tools (#23266)
* refine documentation for Tools

* + one bugfix
2023-05-10 11:03:53 -04:00
Sylvain Gugger
3335724376
Test composition (#23214)
* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* fix loading of additional tools

* Work on RemoteTool and fix tests

* General clean up

* Guard imports

* Fix tools

* docs: Fix broken link in 'How to add a model...'  (#23216)

fix link

* Get default endpoint from the Hub

* Add guide

* Simplify tool config

* Docs

* Some fixes

* Docs

* Docs

* Docs

* Fix code returned by agent

* Try this

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Docs

* Docs

* Custom tools

* Pin tensorflow-probability (#23220)

* Pin tensorflow-probability

* [all-test]

* [all-test] Fix syntax for bash

* PoC for some chaining API

* Text to speech

* J'ai pris des libertés

* Rename

* Basic python interpreter

* Add agents

* Quality

* Add translation tool

* temp

* GenQA + LID + S2T

* Quality + word missing in translation

* Add open assistance, support f-strings in evaluate

* captioning + s2t fixes

* Style

* Refactor descriptions and remove chain

* Support errors and rename OpenAssistantAgent

* Add setup

* Deal with typos + example of inference API

* Some rename + README

* Fixes

* Update prompt

* Unwanted change

* Make sure everyone has a default

* One prompt to rule them all.

* SD

* Description

* Clean up remote tools

* More remote tools

* Add option to return code and update doc

* Image segmentation

* ControlNet

* Gradio demo

* Diffusers protection

* Lib protection

* ControlNet description

* Cleanup

* Style

* Remove accelerate and try to be reproducible

* No randomness

* Male Basic optional in token

* Clean description

* Better prompts

* Fix args eval in interpreter

* Add tool wrapper

* Tool on the Hub

* Style post-rebase

* Big refactor of descriptions, batch generation and evaluation for agents

* Make problems easier - interface to debug

* More problems, add python primitives

* Back to one prompt

* Remove dict for translation

* Be consistent

* Add prompts

* New version of the agent

* Evaluate new agents

* New endpoints agents

* Make all tools a dict variable

* Typo

* Add problems

* Add to big prompt

* Harmonize

* Add tools

* New evaluation

* Add more tools

* Build prompt with tools descriptions

* Tools on the Hub

* Let's chat!

* Cleanup

* Temporary bs4 safeguard

* Cache agents and clean up

* Blank init

* Fix evaluation for agents

* New format for tools on the Hub

* Add method to reset state

* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* Work on RemoteTool and fix tests

* fix loading of additional tools

* General clean up

* Guard imports

* Fix tools

* Get default endpoint from the Hub

* Simplify tool config

* Add guide

* Docs

* Some fixes

* Docs

* Docs

* Fix code returned by agent

* Try this

* Docs

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Fixes

* Doc fixes

* Docs

* Fix audio

* Custom tools

* Audio fix

* Improve custom tools docstring

* Docstrings

* Trigger CI

* Mode docstrings

* More docstrings

* Improve custom tools

* Fix for remote tools

* Style

* Fix repo consistency

* Quality

* Tip

* Cleanup on doc

* Cleanup toc

* Add disclaimer for starcoder vs openai

* Remove disclaimer

* Small fixed in the prompts

* 4.29

* Update src/transformers/tools/agents.py

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Complete documentation

* Small fixes

* Agent evaluation

* Note about gradio-tools & LC

* Clean up agents and prompt

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Note about gradio-tools & LC

* Add copyrights and address review comments

* Quality

* Add all language codes

* Add remote tool tests

* Move custom prompts to other docs

* Apply suggestions from code review

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

* TTS tests

* Quality

---------

Co-authored-by: Lysandre <hi@lyand.re>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
Co-authored-by: Connor Henderson <connor.henderson@talkiatry.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre <lysandre@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-05-09 20:37:57 -04:00
Sylvain Gugger
b4d4d6fe87
Add RWKV-4 (#22797)
* First draft of RWKV-4

* Add support for generate

* Style post-rebase

* Properly use state

* Write doc

* Fix doc

* More math

* Add model to README, dummies and clean config

* Fix init

* multiple fixes:

- fix common tests
- fix configuraion default values
- add CI test for checking state computation
- fix some CI tests

* correct tokenizer

* some tweaks

- fix config docstring
- fix failing tests

* fix CI tests

- add output_attention / output_hidden_states
- override test_initialization
- fix failing CIs

* fix conversion script

- fix sharded case
- add new arguments

* add slow tests + more fixes on conversion script

* add another test

* final fixes

* change single name variable

* add mock attention mask for pipeline to work

* correct eos token id

* fix nits

* add checkpoints

* Apply suggestions from code review

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

* add `tie_word_embeddings` in docstring

* change tensor name

* fix final nits

* Trigger CI

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-05-09 13:04:10 -04:00
Maria Khalusova
516dc6305f
[docs] Text to speech task guide (#23107)
* First draft

* Some polishing

* Text polishing

* added TOC entry for TTS

* make style

* added links to images

* fixed links to images

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* feedback addressed

* feedback from Matthijs addresed

* Update docs/source/en/tasks/text-to-speech.mdx

Co-authored-by: Matthijs Hollemans <mail@hollance.com>

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Matthijs Hollemans <mail@hollance.com>
2023-05-04 13:17:13 -04:00
s-JoL
c2c99dc7ef
add open-llama model with ckpt (#22795)
* update Open-Llama model

* update

* update format

* update doc

* update

* update stable embedding test

* update test case

* update format

* update readme

* fix typo

* update name

* remove tokenizer and update format

* remove convert_open_llama_weights_to_hf

* update warning and doc_string

---------

Co-authored-by: songliang.bayesian <songliang.bayesian@bytedance.com>
2023-04-28 11:01:32 -04:00
Maria Khalusova
521a8ffa53
[docs] Doc TOC updates (#23049)
* first draft of toc restructure

* polishing based on feedback
2023-04-28 09:24:28 -04:00
NielsRogge
3d3204c025
Add FocalNet (#21532)
Adds FocalNet by Microsoft to transformers

---------

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: alaradirik <alaradirik@gmail.com>
2023-04-23 20:03:05 +03:00
Arthur
474bf508df
Add Segment Anything Model (SAM) (#22654)
* initial commit

* keys match

* update, fix conversion

* fixes, inference working

* fix

* more fixes

* more fixes

* clean up

* more clean up

* fix copies and add convext copied layer norm

* stash

* pretty big upfate

* cleaning

* more cleaning

* fixup stuffs

* fix copies

* fix iinit

* update test removing tokenizer

* nits

* add pretrained

* more nits

* remove tracking of pipeline

* few fixes

* update san and conversion script

* fix mask decoder and prompt encoder conversion

* fixes

* small update

* fix order

* fix

* fix image embeddings

* nites

* few fixes

* fix logits

* clean up

* fixes boxes inference

* v1 AMG

* clean up

* some clean up

* multi points support

* amg working

* fixup

* clean up

* readme

* update toctree

* fix type hint

* multiple fixes

* fixup

* fixes

* updates

* updates

* more tests

* few fixes

* change to `SamForMaskGeneration`

* doc

* fixup

* fix more tests

* multiple fixes

* fix CI tests

* refactor processor

* renamings

* draft the pipeline

* refactor

* fix tests

* fix test

* few cleanings

* fix test

* edit pipelien support chunking

* udate

* add slow tests

* fix nit

* fixup

* fix nit

* current chunk pipleine

* cast boxes in fp32

* nit

* current updates

* piepleine works

* fixup

* clean up config

* fix slow tests

* fix slow tests

* clean up

* update doc and pipeline

* adds more slow tests

* fix slow tests

* cleaning

* tests pass

* add docstring

* fix copies

* clean up

* support batch of images

* style

* dummy is needed, add tests

* fix slow tests

* fix CI

* update

* adds more tests

* fixes

* fixes

* fixup

* fixes

* few fixes

* filter

* few fixes

* some refactor

* touches finales

* fix

* style

* remove pipeline files

* fixes nits

* revert pipeline changes

* fix test

* fixup

* remove automodel for automatic mask generation

* fix failing torch tests

* update mdx

* revert removal of `MODEL_FOR_AUTOMATIC_MASK_GENERATION_MAPPING`

* update sam config based on review

Co-authored-by: amyeroberts <aeroberts4444@gmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* update low_resolution_masks -> pred_masks
inti ln with layer_norm_eps
add_decomposed_rel_pos doc
forward doc of SamForMaskGeneration

* update processor docstring

* remove image processor import empty

* update for testing

* output vision hidden states + clean recomm
also test all iou values

* fixup

* fixup

* remove unused

* Update src/transformers/models/sam/modeling_sam.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/sam/image_processing_sam.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* nits

* fix

* fix CI tests and slow tests

* replace with Amy's processor

* clearer docstring

* add `SamVisionNeck`

* refactor - all CI tests should pass

* fix broken import on Gcolab

* few fixes here and there

* fix another bug

* fix more bugs

* update and merge

* correct ckpt

* address comments

* add tips

* revert

* fix docstring

* replace with `SamModel`

* make fixup

* add support for bathed images and batch ed points

* make fixup this time, really

* make fixup again and again

* few fixes here and there, this should be the touche finale

* Update docs/source/en/model_doc/sam.mdx

* fixup

* correct checkpoints

* correct name

* rm unneeded file

* add notebook

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2023-04-19 21:01:49 +02:00
pioliverse
523ca4e016
add model resources for CPMAnt (new) (#20906)
* resolve conflicts

* rebase and make style

* test

* test

* test

* rebase and make style

* rebase and make style

* tests

* tests

* rewrite some functions

* rebase and make style

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* add models and tests

* solve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* save resolution

* make style

* delete redefinition code

* reformat function

* reformat

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* make style

* fix bugs and refactor

* modify docstrings and make style

* unify import format in __init__.py

* fix import-altclp bug

* fix copies to update index.md

* fix unused config parameters

* fix unused config parameters

* fix unused config parameters

* update README_ja.md

* dummy commit for unit test

* fix attention mask

* add CPMAntTokenizer&-Fast to auto-mapping

* drop redundant changes in README_ko

* fix  defaults in docstring

* fix use_cache and some docstring

* add missing args in tokenizer

* modify tester inheritance

* add is_jieba_available

* fix some bugs

* make style and fix-copies

* add doctests

* skip integration tests

* add is_jieba_available

* fix bugs in common tests

* adjust docstrings and make style

* add argument docstring

* adjust code to some specifications

* make style and fix-copies

* add fast tokenization test

* dummy commit for unit test

* dummy commit for unit test

* dummy commit for unit test

* normalize some comments and names

* Bert->CPMAnt

* camel names and drop redundant codes

* make style and fix-coies

* add CpmTokenizerFast _import_structure

* drop cpmanttokenizerfast in model_doc

* fix some problems

* fix CPMAnt tokenization for common test

* make style and fixup

* fix copies and fixup

* fix bugs in tokenization test

* dummy commit for connection failure in unittest

* fix copies

* drop trailing comma

* fix decorator in tests

* dummy commit for connection failure in unittest

---------

Co-authored-by: Gong Baitao <gongbaitao11@gmail.com>
2023-04-12 07:33:20 -04:00
Joel Lamy-Poirier
e0921c6b53
Add GPTBigCode model (Optimized GPT2 with MQA from Santacoder & BigCode) (#22575)
* Add model with cli tool

* Remove unwanted stuff

* Add new code

* Remove inference runner

* Style

* Fix checks

* Test updates

* make fixup

* fix docs

* fix doc

* fix test

* hopefully fix pipeline tests

* refactor

* fix CIs

* add comment

* rename to `GPTBigCodeForCausalLM`

* correct readme

* make fixup + docs

* make fixup

* fixes

* fixes

* Remove pruning

* Remove import

* Doc updates

* More pruning removal

* Combine copies

* Single MQA implementation, remove kv cache pre-allocation and padding

* Update doc

* Revert refactor to match gpt2 style

* Merge back key and value caches, fix some type hints

* Update doc

* Fix position ids pith padding (PR 21080)

* Add conversion script temporarily

* Update conversion script

* Remove checkpoint conversion

* New model

* Fix MQA test

* Fix copies

* try fix tests

* FIX TEST!!

* remove  `DoubleHeadsModel`

* add MQA tests

* add slow tests

* clean up

* add CPU checker

* final fixes

* fixes

- fix GPU issue
- fixed slow tests
- skip disk offload

* fix final issue

* Simplify and comment baddbmm fix

* Remove unnecessary code

* Transpose tweaks

* Use beta=1 on cpu, improve tests

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
2023-04-10 10:57:21 +02:00
Younes Belkada
176ceff91f
Add DePlot + MatCha on transformers (#22528)
* add deplot + matcha on `transformers`

* more docs

* correct path

* Update docs/source/en/model_doc/deplot.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix

* use auto processor

* Update docs/source/en/model_doc/matcha.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make fixup

* Update docs/source/en/model_doc/deplot.mdx

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

* add correct names

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2023-04-05 17:43:48 +02:00
Arthur
19ade2426a
[WIP]NLLB-MoE Adds the moe model (#22024)
* Initial commit

* update modeling code

* update doc

* add functions necessary

* fix impotrs

* revert changes

* fixup

* more styling to get going

* remove standalone encoder

* update code

* styling

* fix config and model

* update code and some refactoring

* make more tests pass

* Adding NLLB-200 - MoE - 54.5B for no language left behind
Fixes #21300

* fix mor common tests

* styke

* update testing file

* update

* update

* Router2 doc

* update check config with sparse layer

* add dummy router

* update current conversion script

* create on the fly conversion script

* Fixup

* style

* style 2

* fix empty return

* fix return

* Update default config sparse layers

* easier to create sparse layers

* update

* update conversion script

* update modeling

* add to toctree

* styling

* make ruff happy

* update docstring

* update conversion script

* update, will break tests but impelemting top2

* update

* local groups are supported here

* ⚠️ Support for local groups is now removed ⚠️

This is because it has to work with model parallelism that we do not support

* finish simplificaiton

* Fix forward

* style

* fixup

* Update modelling and test, refactoring

* update tests

* remove final layer)norm as it is done in the FF

* routing works! Logits test added

* nit in test

* remove top1router

* style

* make sure sparse are tested. Had to change route_tokens a liottle bit

* add support for unslip models when converting

* fixup

* style

* update test s

* update test

* REFACTOR

* encoder outputs match!

* style

* update testing

* 🎉encoder and decoder logits match 🎉

* styleing

* update tests

* cleanup tests

* fix router test and CIs

* cleanup

* cleanup test styling

* fix tests

* Finally the generation tests match!

* cleanup

* update test

* style testing file

* remove script

* cleanup

* more cleanup

* nits

* update

* NLLB tokenizer is wrong and will be fixed soon

* use LongTensors

* update tests

* revert some small changes

* fix second expert sampling and batch prioritized routing

* update tests

* finish last tests

* make ruff happy

* update

* ruff again

* style

* Update docs/source/en/model_doc/nllb-moe.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updates based on review

* style and fix import issue

* nit

* more nits

* cleanup

* styling

* update test_seconde_expert_policy

* fix name

* last nit on the markdown examples

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-03-27 19:42:00 +02:00
Mitch Naylor
57f25f4b7f
Add Mega: Moving Average Equipped Gated Attention (#21766)
* add mega file structure and plain pytorch version of mega source code

* added config class with old naming conventions

* filled in mega documentation

* added config class and embeddings with optional token types

* updated notes

* starting the conversion process, deleted intermediate and added use_cache back to config

* renamed config attributes in modeling_mega.py

* checkpointing before refactoring incremental decoding functions

* removed stateful incremental key/values for EMA and self-attention

* refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask

* MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement

* more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention

* bug fix in attention mask handling in MovingAverageGatedAttention

* removed incremental state from GatedCrossAttention and removed IncrementalState class

* finished gated cross attention and got MegaLayer working

* fixed causal masking in mega decoder

* fixed how padding and causal masks are passed through MegaLayer with and without k/v caching

* finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids

* added optional dense hidden layer for masked and causal LM classes

* docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention

* removed before_attn_fn in Mega class and updated docstrings and comments up to there

* bug fix in MovingAverageGatedAttention masking

* working conversion of MLM checkpoint in scratchpad script -- perfect matches

* moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters

* renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint

* finished checkpoint conversion script

* cleanup old class in mega config script

* removed 'copied from' statements and passing integration tests

* added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing

* fixed tuple output of megamodel

* all common tests passing after fixing issues in decoder, gradient retention, and initialization

* added mega-specific tests, ready for more documentation and style checks

* updated docstrings; checkpoint before style fixes

* style and quality checks, fixed initialization problem in float_tensor, ready for PR

* added mega to toctree

* removed unnecessary arg in megaconfig

* removed unused arg and fixed code samples with leftover roberta models

* Apply suggestions from code review

Applied all suggestions except the one renaming a class, as I'll need to update that througout

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

* fixed issue where .view breaks batch dimension, conversion script fixed with absolute imports, updated readme with Mega->MEGA

* removed asserts in Mega code, renamed sequencenorm, gatedcrossattention, and NFFN, replaced get_activation_fn with ACTFN, and added sequencenorm to layer norms

* reformatted .forward() docstrings to match style and removed unused mask input in cross-attention

* removed all reset_parameters() methods and rolled into MegaPreTrainedModel._init_weights()

* renamed all single-letter variables and improved readability in tensor size comments, Mega->MEGA in 2 documentation files

* variable names in NFFN

* manual Mega->MEGA changes in docs

* Mega->MEGA in config auto

* style and quality fixes

* Apply suggestions from code review

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

* renamed parameters and variables with confusing names, added copied from statements, moved fft conv to its own method, other cleanup from PR comments

* commit before dealing with merge conflicts

* made new attention activation functions available in ACT2FN and added generation test from OPT

* style and quality in activations and tests

* documentation fixes, renaming variables in dropout and rotary positions, used built-in causal masking, encoders->layers in MegaModel, moved comments into docstrings

* style and quality fixes after latest updates, before rotary position ids

* causal mask in MegaBlock docstring + added missing device passing

* Apply suggestions from code review

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

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* added Mega prefixes where missing, reverted MegaSequenceNorm to if-else, other module renaming requested in PR

* style and quality fixes + readme updates pointing to main

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-03-24 08:17:27 -04:00
Younes Belkada
0f68a7f408
Add Pix2Struct (#21400)
* v1 all keys match

* clean up

* forward pass ok

* add correct image transform

* generate works, logits matching

* clean up

* more refactor

* revert

* revert

* clean up

* clean ups

* clean up

* refactor

* refactor

* fix doc

* fix tokenizer test

* fix toctree

* revert toctree

* oops

* few fixes

* replace to `pixel_embeds`

* make fixup

* test processing & feat extractor

* fix some tests

* more fixes

* make fixup

* clean up

* more clean up

* add a single slow test

* fix test

* make fixup

* fix

* fix authors

* fix toctree

* update docs

* add docstring

* revert change

* Update src/transformers/models/pix2struct/__init__.py

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

* fix tokenizer

* fix processor test

* fix test

* make fixup

* refactor

* fix config

* Update src/transformers/models/pix2struct/image_processing_pix2struct.py

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

* format

* fix

* Update src/transformers/models/pix2struct/image_processing_pix2struct.py

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

* make fixup

* add docstring

* fix issues

* fix

* fix

* fix

* add slow test

* fix

* fix

* fix batched issue

* fix training issues

* fix ci test

* fix slow test

* fix conversion script

* remove unneeded classes

* fix slow test

* fix require backends

* fix masked fill

* revert

* fix softmax

* add large models support

* fix conditional generation

* few fixes

* add instructions

* rm unneeded file

* Update src/transformers/models/pix2struct/convert_pix2struct_original_pytorch_to_hf.py

* fix ci test

* fix ci test really

* Apply suggestions from code review

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

* fix nit

* fix nits

* fix image processors nits

* docstring

* clean up

* fix nit

* fix tests

* docstring nit

* fix reshape

* Update src/transformers/models/pix2struct/image_processing_pix2struct.py

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

* fix nit

* fix repetition

* refactor processor

* make patch size consistent

* refactor forward

* fix docstring

* fix max_patches issue

* update docstirng

* update docstring

* fix coped from

* add skip reasons

* few fixes

* Update src/transformers/models/pix2struct/image_processing_pix2struct.py

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

* format

* fix doctests

* refactor and fix

* fix doc build issue

* fix processor test

* small fix conversion script

* replace correct weights

* make fixup

* fix some issues

* Apply suggestions from code review

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

* revert config and fixes

* Update src/transformers/models/pix2struct/image_processing_pix2struct.py

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

* more details

* fixes

* fix processor

* fix processor test

* fix

* Apply suggestions from code review

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

* make fixup

* fix processor

* Update src/transformers/models/pix2struct/modeling_pix2struct.py

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

* add copied

* make fixup

* fix copies

* update docstring

* refactor

* fix docstring

* fix conversion script

* fix vqa issue

* replace to `flattened_patches`

* nit

* fix numpy issue

* fix image processors

* add batched vqa support

* fix vqa conversion

* make fixup

* fix conversion script

* Apply suggestions from code review

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

* make fixup

* add correct docstring

* update docstring

* fix module level + channel dim

* use `make_list_of_images`

* refactor

* correct docstring

* fix authors

* remove `data_format`

* add header text test

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make fixup

* add checkpoints

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2023-03-22 16:53:52 +01:00
Maria Khalusova
42f8f76402
Depth estimation task guide (#22205)
* added doc to toc, auto tip with  supported models, mention of task guide in model docs

* make style

* removed "see also"

* minor fix
2023-03-17 08:36:23 -04:00
Jason Phang
0041be5b3d
LLaMA Implementation (#21955)
* LLaMA

* sharding and docs

* tweak

* black

* inits

* ruff

* LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP

* init

* no checkpoint

* docs

* ruff

* type_vocab_size

* tokenizer fixes

* tokenizer fixes

* Update tokenization_llama.py

* Update tokenization_llama.py

* Update configuration_llama.py

* Update modeling_llama.py

* tokenizer add_bos by default

* licenses

* remove decoder

* norms and mlp

* rope overhaul

* tweaks

* black

* mention OPT implementation

* off-by-one naming

* typo

* fix

* tokenization fix and slicing bug

* padding config

* cleanup

* black

* update tests

* undo typo

* fix vocab caching logic

* ruff

* docbuilder

* attn fix from BlackSamorez

* initial feedback

* typo

* docs

* llama case

* llama case

* load checkpoint docs

* comment about tokenizer

* tokenizer defaults

* clear past_key_values if use_cache=False

* last tweaks

* last tweaks

* last tweaks

* last tweaks

---------

Co-authored-by: Stella Biderman <stellabiderman@gmail.com>
2023-03-16 09:00:53 -04:00
Alara Dirik
cdddfbffa1
Add ConvNeXT V2 (#21679)
* Add ConvNeXt V2 to transformers
* TF model is separated from the PR to fix issues
2023-03-14 12:08:14 +03:00
Maria Khalusova
8def252de2
Zero-shot image classification task guide (#22132)
* WIP

* WIP

* manual inference example

* make style

* Apply suggestions from code review

Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

---------

Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
2023-03-13 10:57:17 -04:00
wangpeng
102b5ff4a8
add new model of MGP-STR (#21418)
* add new model of MGP-STR

* fix the check failings

* remove torch and numpy from mgp_tokenization

* remove unused import from modeling_mgp_str

* add test_processing_mgp_str

* rm test_processing_mgp_str.py

* add test_processing_mgp_str

* add test_processing_mgp_str

* add test_processing_mgp_str

* rm test_processing_mgp_str and add softmax outs to model

* rm test_processing_mgp_str and add softmax outs to model

* rewrite the code of mgp-str according to PR suggestions

* rewrite the code of mgp-str according to PR suggestions

* add new model of MGP-STR

* fix the check failings

* remove torch and numpy from mgp_tokenization

* remove unused import from modeling_mgp_str

* add test_processing_mgp_str

* rm test_processing_mgp_str.py

* add test_processing_mgp_str

* add test_processing_mgp_str

* add test_processing_mgp_str

* rm test_processing_mgp_str and add softmax outs to model

* rewrite the code of mgp-str according to PR suggestions

* rewrite the code of mgp-str according to PR suggestions

* remove representation_size from MGPSTRConfig

* reformat configuration_mgp_str.py

* format test_processor_mgp_str.py

* add test for tokenizer and complete model/processer test and model file

* rm Unnecessary tupple in modeling_mgp_str

* reduce hidden_size/layers/label_size in test_model

* add integration tests and change MGPSTR to Mgpstr

* add test for logit values

* reformat test model file

---------

Co-authored-by: yue kun <yuekun.wp@alibaba-inc.com>
2023-03-13 10:11:31 +00:00
Eli Simhayev
8abe4930d3
[Time-Series] informer model (#21099)
* added informer to gitignore

* added informer to gitignore

* WIP informer2020

* added checking that instantiate works

* added config using gluonTS by kashif

* WIP config

* adding informeConfig. need to remove FeatureEmbedder

* done InformerConfig, but need to change the names

* Done informer model init. working on enc-dec

* added things to address, after reading again enc-dec in the paper

* done modeling - checking initialization work

* added informer to gitignore

* WIP informer2020

* added checking that instantiate works

* added config using gluonTS by kashif

* WIP config

* adding informeConfig. need to remove FeatureEmbedder

* done InformerConfig, but need to change the names

* Done informer model init. working on enc-dec

* added things to address, after reading again enc-dec in the paper

* done modeling - checking initialization work

* moved enc-dec init to InformerEncoder/Decoder init

* added 'init_std' to config, now model init works!

* WIP conversion script, and added code sources

* WIP conversion script: loading original informer pth works

* WIP conversion script: change defaults in the config

* WIP conversion script: supporting Informer input embedding

* WIP conversion script: added parameters for the informer embed

* WIP conversion script: change dim_feedforward=2048

* WIP conversion script: remove unused args for loading checkpoint

* just cleaning up

* DataEmbedding removed, after thinking with Kashif

* working on forward pass

* WIP forward pass: trying to establish working batch for forward pass

* cleaning and finalizing

* adding HF names and docs

* init after cleaning works

* WIP in tests

* added docs for the informer specific args

* fix style

* undo change

* cleaning informer, now need to work only enc-dec

* initial enc-dec classes

* added encoder and decoder

* added todo

* add todos for conv_layers

* added decoder docs from vanilla

* added encoder docs from vanilla

* remove encoder decoder from the original informer

* removed AttentionLayer from the original paper

* removed TriangularCausalMask, same as decoder_attention_mask

* initial sparse attention

* use conv_layers

* fixed test_config test

* fix parenthesis when itearting zip(layers, conv_layers)

* error found in prob attention, added sizes as comments

* fix sizes

* added proposal for q_reduce indexing, and remove unused

* WIP ProbMask, and changed factor=2 for testing

* remove unused libs for this PR for creating the env

* fix checking the attn_weights.size() after bmm

* Q_reduce: changed from torch.gather to simple slicing

* WIP calculate final attn_output

* finish adding v_aggregated, attn_output ready

* changed tgt_len to u in attention_mask, need to fix the size error

* comment attention_mask for encoder, and fix if cond for v_agg

* added ProbMask support (wip), removed old original code

* finished ProbMask 😃

* Revert "remove unused libs for this PR for creating the env"

This reverts commit 11a081e09e.

* fixes

* make style

* fix initial tests

* fix more tests

* dry

* make style

* remove unused files

* style

* added integration tests

* fix num_static_real_features

* fix header

* remove unused function

* fix example

* fix docs

* Update src/transformers/models/informer/configuration_informer.py

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

* Update src/transformers/models/informer/modeling_informer.py

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

* Update src/transformers/models/informer/configuration_informer.py

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

* Update src/transformers/models/informer/configuration_informer.py

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

* Update src/transformers/models/informer/configuration_informer.py

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

* Update src/transformers/models/informer/configuration_informer.py

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

* fixes for reviewer

* use prediction_length from model

* fix style

* fixed informer.mdx

* added to index

* updated readme

* undo

* make fix-copies

* typo

* fix copy

* added Informer to toctree

* in order

* fixed comments

* remove unneeded new lines in docs

* make static real and cat optional

* fix use of distil conv layers

* fixed integration test

* added checkpoint for convlayer

* make fix-copies

* updated from time series model

* make fix-copies

* copy decoder

* fix unit tests

* updated scaling config

* fix integration tests

* IGNORE_NON_TESTED

* IGNORE_NON_AUTO_CONFIGURED

* IGNORE_NON_AUTO_CONFIGURED

* updated check configs

* fix formatting

* undo change from time series

* prediction_length should not be None

* aliign with the blog: prettify ProbSparse and change attention_factor  to sampling_factor

* make style

* make fix-copies

* niels CR: update contributed by

* niels CR: update configuration_informer.py

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

* niels CR: update kashif -> huggingface

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

* niels CR: `sampling_factor` only relevant when `attention_type`=prob

* make style

* fixed U_part: added multiplication by `L_Q`

* fixed bug: remove `is not None` from `if config.distil`

* fixed test: `decoder_seq_length` to `encoder_seq_length` in cross_attentions check

* fix integration tests

* updated model hub

* do not shift as in training

* undo

* fix make-copies

* make fix-copies

* added `if prediction_length is None`

* changed `ProbSparseAttention` to `InformerProbSparseAttention`

* changed `V_sum` -> `v_mean_dim_time`

* changed `ConvLayer` to `InformerConvLayer` and fixed `super()`

* TimeSeriesTansformer->Informer in decoder's Copied from

* more descriptive in ProbSparse

* make style

* fix coped from

* Revert "added `if prediction_length is None`"

This reverts commit b4cbddfa05.

* fixed indent

* use InformerSinusoidalPositionalEmbedding

* make fix-style

* fix from #21860

* fix name

* make fix-copies

* use time series utils

* fix dec num_heads

* docstring

* added time series util doc

* _import_structure

* formatting

* changes from review

* make style

* fix docs

* fix doc

* removed NegativeLogLikelihood

---------

Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2023-03-07 21:36:38 +01:00
Arthur
82aac00e0f
[Flan-UL2] Add-flan-ul2 (#21929)
* add doc and readme

* add model docs

* update toctree and fix copies

* update

* update doc file

* fix

* add FLAN-UL2 to configuration mapping

* fixup

* Apply suggestions from code review

* more clarification

---------

Co-authored-by: younesbelakda <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2023-03-03 17:57:24 +01:00
Alara Dirik
269b054939
Add ALIGN to transformers (#21741)
Adds the ALIGN model to transformers. ALIGN is introduced in "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" by Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig.
2023-03-01 21:23:31 +03:00
Maria Khalusova
6ca844582c
Add: task guide for zero shot object detection (#21829)
* zero shot object detection part 1

* added batch prediction section

* added image guided object detection section

* make style

* added the task guide to the TOC

* minor polishing

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* added embedded owlvit demo

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* minor fix

* make style

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-28 10:23:08 -05:00
Alara Dirik
49ab16239c
Add EfficientNet (#21563)
* Add EfficientNet to transformers
2023-02-20 16:37:11 +03:00
tanreinama
f56174ac5b
add GPTSAN model (reopen) (#21291)
* add GPTSAN-Japanese

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN (update for review)

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix typo in comment text

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix document and comments

* fix class name GPTSAN->GPTSan

* fix import and test for tokenizer
2023-02-20 11:25:27 +01:00
Younes Belkada
3668ec1716
[bnb] Introducing BitsAndBytesConfig (#21579)
* v1 `BitsandbytesConfig`

- add v1
- add tests
- more user-friendly API
- add docs

* change to `BitsAndBytesConfig`

* replace logic

* changes

* make fixup

* quality

* make fixup

* fix doc

* fix test

* update toctree

* fix slow test

* add tips

* add warning

* change title

* oops

* Update docs/source/en/main_classes/quantization.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/utils/bitsandbytes.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove unused file

* adapt suggestion

- add also tests
- change logic

* update docs

* adapt suggestions

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-17 09:44:01 +01:00
Arthur
c236a62172
[CLAP] Add CLAP to the library (#21370)
* add model like clip

* update

* text model ok

* clap text works

* some refactor

- `CLAPVision` to `CLAPAudio`
- refactor kwargs of audio modules

* more refactor

* more refactor

* more refactor

* correct fusion

* more refactor

* new modules

* add basic processor

* fixup

* remove whisper copioed from

* audio logits match

* add doc

* correct filters mel and add maxlength

* style

* few fixes

* forward passes

* fixup

* fixup

* some clean up

* remove mels form the dictionnary

* pad after the repeat

* update padding when dsmaller

* fix padding

* style

* use swin patch merging

* use copied from swin

* processor with any tokenizer

* more copied from

* some clean up

* more refactor

* fix mel when rand_trunc

* style

* remove unused imports

* update processing

* remove image processing tests

* add testing fiel

* fixmodeling issues

* replace with `is_longer`

* clap in serialization

* more refactor

* `make fixup`

* make fixup

* fix feature extractor

* update test feature extractor

* `make fixup`

* clean up config

* more clean up

* more cleanup

* update tests

* refactor tests and inits

* removeCLAP vision config

* remove CLAP from image procssing auto and dummy vision objects

* update inits

* style

* re order classes in modeling clap

* Use roberta tokenizer as the other weights are not open sourced

* small cleaup

* remove tokenization CLAP

* processor tokenizr is roberta

* update feature extraction doc

* remove vclap from model zero shot

* update f_min and f_max to frequency_xx

* some changes

- fix modeling keys
- add `is_longer` in the forward pass
- make fixup

* make fixup

* consistent behavior ebtween rand_crop and fusion

* add numpy resize and bilinear and documentation

* move resizing to image utils

* clean feature extraction

* import resize from correct file

* resize in image transforms

* update

* style

* style

* nit

* remove unused arguments form the feature extractor

* style

* few fixes + make fixup

* oops

* fix more tests

* add zero shot audio classification pipeline

* update zeroshot classification pipeline

* fixup

* fix copies

* all CI tests pass

* make fixup + fix docs

* fix docs

* fix docs

* update tests pip;eline

* update zero shot pipeline

* update feature extraction clap

* update tokenization auto

* use nested simplify

* update pipeline tests

* Apply suggestions from code review

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

* split in two lines

* fixes

* refactor

* clean up

* add integration tests

* update config docstring

* style

* update processor

* fix processor test

* fix feat extractor tests

* update docs

* Apply suggestions from code review

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

* fix readmes

* fix tips

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

* update doc and remove todo -> properly explained

* fix idx and typo

* typoe

* cleanup config

* cleanup tests, styles and doc

* ignore docstyle on image transform

* add conversion script

* remove the `clap` indx in favor of `CLAP`

* update __init

* nits

* Update src/transformers/pipelines/__init__.py

* fix bug

* clarifiy config

* fix copy

* fix init

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix model output

* fix comment

* make fixup

* make fixup

* rename to `Clap`

* replace to `Clap`

* replace to `Clap`

* repo consistency

* again repo-consistency

* make fixup

* Apply suggestions from code review

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

* add config

* changes

* update conversion

* Apply suggestions from code review

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

* remove unused function

* update based on code reviews

* style

* more comments

* cleanup

* clean up

* style

* apply suggestions

* Empty commit

* pipeline will be added in a different PR

* update calls to audio utils functions

* update pipeline init

* style

* style

* styling again

* use pad

* fix repo-consistency

* update utils and add doc for audio utils

* clean up resize by using torch. update inits accordingly

* style

* CLap's  tokenizer is RobertA

* add audio utils to internal toctreee

* update totctree

* style

* update documentation and normalize naming accross audio utils and feature extraction clap

* style

* clean up

* update doc and typos

* fix doctest

* update modelin code, got rid of a lot of reshaping

* style on added doc audio utils

* update modeling clap

* style

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* docstringvariables with CLAP

* rename key

* update modeling CLAP

* update audio utils docstring

* update processing clap

* fix readmes

* fix toctree

* udpate configuration clap

* fix init

* make fixup

* fix

* fix

* update naming

* update

* update checkpoint path

* Apply suggestions from code review

* Major refactoring

* Update src/transformers/models/clap/configuration_clap.py

* merge

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
2023-02-16 20:59:27 +01:00
Steven Liu
7a5533b2c3
Refactor model summary (#21408)
* first draft of model summary

* restructure docs

* finish first draft

* minor reviews and edits

* apply feedbacks

* save important info, create new page for attention

* add attention doc to toctree

*  few more minor fixes
2023-02-15 10:35:14 -08:00
Zineng Tang
a0e69a9375
Add TVLT (#20725)
* Update image_processing_tvlt.py

* Update modeling_tvlt.py

* Update

* Update modeling_tvlt.py

* Create tvlt.mdx

* Update configuration_tvlt.py

* Update modeling_tvlt.py

* Update test_modeling_tvlt.py

* Update modeling_tvlt.py

* Update modeling_tvlt.py

* Update image_processing_tvlt.py

* Update feature_extraction_tvlt.py

* Update tvlt models

* Update tests

* Update

* Update

* Update tests

* Update README_ko.md

* Update README_ja.md

* Update README_ko.md

* Update README_zh-hans.md

* Update docs/source/en/model_doc/tvlt.mdx

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

* Update docs/source/en/model_doc/tvlt.mdx

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

* Update src/transformers/models/tvlt/configuration_tvlt.py

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

* Update src/transformers/models/tvlt/configuration_tvlt.py

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

* Update src/transformers/models/tvlt/configuration_tvlt.py

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

* Update src/transformers/models/tvlt/configuration_tvlt.py

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

* Update tvlt.mdx

* Update modeling_tvlt.py

* Update configuration_tvlt.py

* Update modeling_tvlt.py

* Update modeling_tvlt.py

* Update modeling_tvlt.py

* Update modeling_tvlt.py

* Add files via upload

* Update model

* Update modeling_tvlt.py

* Update tvlt models

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

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

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

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

* Update src/transformers/models/tvlt/image_processing_tvlt.py

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

* Update src/transformers/models/tvlt/image_processing_tvlt.py

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

* Add files via upload

* Add files via upload

* Delete modeling_tvlt.py

* Delete feature_extraction_tvlt.py

* Delete configuration_tvlt.py

* Delete image_processing_tvlt.py

* Delete processing_tvlt.py

* Update tvlt

* Update src/transformers/models/tvlt/configuration_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/image_processing_tvlt.py

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

* Update src/transformers/models/tvlt/configuration_tvlt.py

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

* Update tests/models/tvlt/test_modeling_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/tvlt/test_modeling_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/modeling_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/modeling_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update README_es.md

* Update README_hd.md

* Update README_ja.md

* Update README_ko.md

* Update README_zh-hans.md

* Update README_zh-hant.md

* Update index.mdx

* Update tvlt.mdx

* Update tvlt.mdx

* Update configuration_tvlt.py

* Update src/transformers/models/tvlt/image_processing_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/image_processing_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/image_processing_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/image_processing_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/tvlt/modeling_tvlt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update modeling_tvlt.py

* Add files via upload

* Update tvlt.mdx

* Update modeling_auto.py

* Add files via upload

* Add files via upload

* Update dummy_pt_objects.py

* Update __init__.py

* Update feature_extraction_tvlt.py

* Update feature_extraction_tvlt.py

* Update image_processing_tvlt.py

* Update modeling_auto.py

* Update test_feature_extraction_tvlt.py

* Update test_processor_tvlt.py

* Update test_feature_extraction_tvlt.py

* Add files via upload

* Update test_image_processor_tvlt.py

* Update tests/models/tvlt/test_processor_tvlt.py

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

* Update src/transformers/models/tvlt/modeling_tvlt.py

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

* Update src/transformers/models/tvlt/processing_tvlt.py

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* Update check_repo.py

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* Update tests

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---------

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2023-02-15 18:10:30 +00:00
Susnato Dhar
0c9c8472e6
Add Ernie-M Model to huggingface (#21349)
* config and tokenization(fast too) changed and ErnieEncoder added

* Slow Tokenization Added

* Tokenizer(slow) is now working and Fast Tokenizer removed

* Added Config code

* Added Base Model and utils

* ErnieMModel is now working

* All added except tests

* All tests passed except ErnieUIEM

* All tests passed

* all fixes done

* all fixes done

* fixed MAP

* fixed check_code_quality

* fixed Build PR Documentation issue

* Added changes(comments) and also updated to the latest upstream/main

* Added fixup

* Added # Copied comments

* Added fixup

* Added more comments and some nits

* Added fixup

* Fixed README_hd.md

* Added more fixes

* ErnieMTokenizer (being sentencepiece) protected and other docs edited

* Added code_quality fix

* Fixed for

* Added more fix

* modified AZ

* ernie-m tokenization test added!

* attention mask part fixed(with 0->self.config.pad_token_id)

* applied make fixup
2023-02-15 09:24:56 -05:00
Maria Khalusova
3baa407f92
Add: document question answering task guide (#21518)
* document question answering guide

* Added the list of supported models

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* switched to AutoProcessor

* feedback addressed

* Apply suggestions from code review

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* Update docs/source/en/tasks/document_question_answering.mdx

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* more feedback addressed

* addressed comments about evaluation loss

* added appropriate image link

* make style

* typo fix

* resolving toc conflict

* fixed the image link

---------

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2023-02-13 09:24:56 -05:00
Sayak Paul
e2ec3089ce
[Tasks] Adds image captioning (#21512)
* add: task guide on image cpationing.

* Empty commit to trigger CI

* Apply suggestions from code review

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* address additional comments from the PR.

* fix: wording.

* Update docs/source/en/tasks/image_captioning.mdx

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---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-10 22:52:12 +05:30
Jannis Vamvas
b0d539ccad
Add X-MOD (#20939)
* Add X-MOD to Readme

* Add documentation for X-MOD

* Implement X-MOD

* Fix formatting of X-MOD docs

* Change signature of X-MOD forward methods to use lang_ids

* Minor changes

* Rebase with main and run make fix-copies

* Make suggested changes to docstrings

* Improve code readability

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

* Fix code style

* Conversion script: Remove asserts and type annotations

* Remove _TOKENIZER_FOR_DOC

* XMOD -> Xmod

* Update copyright note

* Fix doctests

* Fix docstring

* Add integration test for FillMaskPipeline

* Revert "Add integration test for FillMaskPipeline"

This reverts commit 4381eb3b1d0f5d85785f89caba83928e6efa6d1f.

* Add end-to-end integration test for mask fill

* make style

* Rebase with main and make fix-copies

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2023-02-10 15:32:06 +01:00
NielsRogge
d7f1e7c009
Add BLIP-2 (#21441)
* First draft

* More improvements

* More improvements

* Improve conversion script

* Convert all weights

* Make forward pass work

* Make logits match

* More improvements

* More improvements

* More improvements

* Use get_input_embeddings

* Improve some more

* Improve model tests

* Improve model tests

* More improvements

* Fix processor

* Update files

* Update prepare_inputs_for_generation

* More improvements

* Fix copies

* More fixes

* Make fixup

* More improvements

* Add support for seq2seq language model

* More improvements

* Fix test

* More improvements

* Improve conversion script

* Remove some todo's

* Fix README's

* Improve conversion script

* Fix generation

* Fix style and remove Blip2Model

* Fix model outputs

* More improvements

* Set eos_token_id in config

* Fix quality

* Small improvements

* Add processor tests

* More improvements

* Apply suggestions

* Apply suggestions

* Add integration test

* Update image URL

* Add integration test

* Fix model_type

* Update style

* Improve docs

* Add doc tests

* Fix copies

* Remove tests which are passing

* Improve some more

* Add tests for seq2seq language models

* Minor fix

* Convert more checkpoints

* finalize CI

* Fix blip and blip2 processors

* add `accelerate` support for `blip2`

* clean up

* make style

* Update conversion script

* Update conversion script some more

* Update organization

* revert toc file

* add blip-2 to toc file

* Some more improvements

* Fix docstring

* Improve docs

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
2023-02-09 16:52:11 +01:00
Stefan Schweter
7e51a441e4
Add XLM-V to Model Doc (#21498)
* doc: introduce new section for XLM-V model

* doc: mention more details for XLM-V integration

* docs: paper abstract in italics, model identifier for base model added

* doc: mention new XLM-V support

* auto: add XLM-V mapping

* doc: run make fix-copies ;)
2023-02-07 16:43:19 -05:00
Matt
833174c929
Add tutorial doc for TF + TPU (#21429)
* Add tutorial doc for TF + TPU

* Fix all those extra asterisks in the markdown

* Use the actual Tip formatting

* Remove unnecessary spaces

* Reformat checklist

* Fix checklist and reformat tips slightly

* Update docs/source/en/perf_train_tpu_tf.mdx

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* Update docs/source/en/perf_train_tpu_tf.mdx

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* Update docs/source/en/perf_train_tpu_tf.mdx

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* Update docs/source/en/perf_train_tpu_tf.mdx

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add link to TPU notebook in the notebooks list

* Add links to the TPU notebook in the tutorial doc

* Make the markdown table a bit less wild

* Fix notebook link

* More notebook links

* More fixes to wild tables

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2023-02-03 19:07:42 +00:00
Matthijs Hollemans
e4bacf6614
[WIP] add SpeechT5 model (#18922)
* make SpeechT5 model by copying Wav2Vec2

* add paper to docs

* whoops added docs in wrong file

* remove SpeechT5Tokenizer + put CTC back in the name

* remove deprecated class

* remove unused docstring

* delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead

* remove classes we don't need right now

* initial stab at speech encoder prenet

* add more speech encoder prenet stuff

* improve SpeechEncoderPrenet

* add encoder (not finished yet)

* add relative position bias to self-attention

* add encoder CTC layers

* fix formatting

* add decoder from BART, doesn't work yet

* make it work with generate loop

* wrap the encoder into a speech encoder class

* wrap the decoder in a text decoder class

* changed my mind

* changed my mind again ;-)

* load decoder weights, make it work

* add weights for text decoder postnet

* add SpeechT5ForCTC model that uses only the encoder

* clean up EncoderLayer and DecoderLayer

* implement _init_weights in SpeechT5PreTrainedModel

* cleanup config + Encoder and Decoder

* add head + cross attention masks

* improve doc comments

* fixup

* more cleanup

* more fixup

* TextDecoderPrenet works now, thanks Kendall

* add CTC loss

* add placeholders for other pre/postnets

* add type annotation

* fix freeze_feature_encoder

* set padding tokens to 0 in decoder attention mask

* encoder attention mask downsampling

* remove features_pen calculation

* disable the padding tokens thing again

* fixup

* more fixup

* code review fixes

* rename encoder/decoder wrapper classes

* allow checkpoints to be loaded into SpeechT5Model

* put encoder into wrapper for CTC model

* clean up conversion script

* add encoder for TTS model

* add speech decoder prenet

* add speech decoder post-net

* attempt to reconstruct the generation loop

* add speech generation loop

* clean up generate_speech

* small tweaks

* fix forward pass

* enable always dropout on speech decoder prenet

* sort declaration

* rename models

* fixup

* fix copies

* more fixup

* make consistency checker happy

* add Seq2SeqSpectrogramOutput class

* doc comments

* quick note about loss and labels

* add HiFi-GAN implementation (from Speech2Speech PR)

* rename file

* add vocoder to TTS model

* improve vocoder

* working on tokenizer

* more better tokenizer

* add CTC tokenizer

* fix decode and batch_code in CTC tokenizer

* fix processor

* two processors and feature extractors

* use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2

* cleanup

* more cleanup

* even more fixup

* notebooks

* fix log-mel spectrograms

* support reduction factor

* fixup

* shift spectrograms to right to create decoder inputs

* return correct labels

* add labels for stop token prediction

* fix doc comments

* fixup

* remove SpeechT5ForPreTraining

* more fixup

* update copyright headers

* add usage examples

* add SpeechT5ProcessorForCTC

* fixup

* push unofficial checkpoints to hub

* initial version of tokenizer unit tests

* add slow test

* fix failing tests

* tests for CTC tokenizer

* finish CTC tokenizer tests

* processor tests

* initial test for feature extractors

* tests for spectrogram feature extractor

* fixup

* more fixup

* add decorators

* require speech for tests

* modeling tests

* more tests for ASR model

* fix imports

* add fake tests for the other models

* fixup

* remove jupyter notebooks

* add missing SpeechT5Model tests

* add missing tests for SpeechT5ForCTC

* add missing tests for SpeechT5ForTextToSpeech

* sort tests by name

* fix Hi-Fi GAN tests

* fixup

* add speech-to-speech model

* refactor duplicate speech generation code

* add processor for SpeechToSpeech model

* add usage example

* add tests for speech-to-speech model

* fixup

* enable gradient checkpointing for SpeechT5FeatureEncoder

* code review

* push_to_hub now takes repo_id

* improve doc comments for HiFi-GAN config

* add missing test

* add integration tests

* make number of layers in speech decoder prenet configurable

* rename variable

* rename variables

* add auto classes for TTS and S2S

* REMOVE CTC!!!

* S2S processor does not support save/load_pretrained

* fixup

* these models are now in an auto mapping

* fix doc links

* rename HiFiGAN to HifiGan, remove separate config file

* REMOVE auto classes

* there can be only one

* fixup

* replace assert

* reformat

* feature extractor can process input and target at same time

* update checkpoint names

* fix commit hash
2023-02-03 12:43:46 -05:00
Steven Liu
fbee82951f
Update task summary (#21067)
* first draft of audio section

* make style

* first draft of computer vision section

* add convnext and encoder tasks

* finish up nlp tasks

* minor edits

* add arch images, more edits

* fix image links

* apply sanchit feedback

* model naming convention

* apply niels vit feedback

* replace detr for segmentation with mask2former

* apply feedback

* apply feedback
2023-02-02 11:41:27 -08:00
Maria Khalusova
65b5035a1d
Moved LiLT under multimodal models in TOC (#21393)
moved LiLT under multimodal models
2023-02-01 08:03:00 -05:00
NielsRogge
c21298a69b
[Docs] Minor fixes (#21383)
* Improve docs

* Add DETA resources

---------

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2023-01-31 15:13:12 +01:00
NielsRogge
5451f8896c
Add DETA (#20983)
* First draft

* Add initial draft of conversion script

* Convert all weights

* Fix config

* Add image processor

* Fix DetaImageProcessor

* Run make fix copies

* Remove timm dependency

* Fix dummy objects

* Improve loss function

* Remove conv_encoder attribute

* Update conversion scripts

* Improve postprocessing + docs

* Fix copied from statements

* Add tests

* Improve postprocessing

* Improve postprocessing

* Update READMEs

* More improvements

* Fix rebase

* Add is_torchvision_available

* Add torchvision dependency

* Fix typo and README

* Fix bug

* Add copied from

* Fix style

* Apply suggestions

* Fix thanks to @ydshieh

* Fix another dependency check

* Simplify image processor

* Add scipy

* Improve code

* Add threshold argument

* Fix bug

* Set default threshold

* Improve integration test

* Add another integration test

* Update setup.py

* Address review

* Improve deformable attention function

* Improve copied from

* Use relative imports

* Address review

* Replace assertions

* Address review

* Update dummies

* Remove dummies

* Address comments, update READMEs

* Remove custom kernel code

* Add image processor tests

* Add requires_backends

* Add minor comment

* Update scripts

* Update organization name

* Fix defaults, add doc tests

* Add id2label for object 365

* Fix tests

* Update task guide
2023-01-31 10:43:10 +01:00
Maria Khalusova
73a2ff6974
Automated compatible models list for task guides (#21338)
* initial commit. added tip placeholders and a script

* removed unused imports, fixed paths

* fixed generated links

* make style

* split language modeling doc into two: causal language modeling and masked language modeling

* added check_task_guides.py to make fix-copies

* review feedback addressed
2023-01-27 13:19:28 -05:00
Anahita Bhiwandiwalla
3a6e4a221c
Add BridgeTower model (#20775)
* Commit with BTModel and latest HF code

* Placeholder classes for BTForMLM and BTForITR

* Importing Bert classes from transformers

* Removed objectives.py and dist_utils.py

* Removed swin_transformer.py

* Add image normalization, BridgeTowerForImageAndTextRetrieval

* Add center_crop

* Removing bert tokenizer and LCI references

* Tested config loading from HF transformers hub

* Removed state_dict updates and added path to hub

* Enable center crop

* Getting image_size from config, renaming num_heads and num_layers

* Handling max_length in BridgeTowerProcessor

* Add BridgeTowerForMaskedLM

* Add doc string for BridgeTowerConfig

* Add doc strings for BT config, processor, image processor

* Adding docs, removed swin

* Removed convert_bridgetower_original_to_pytorch.py

* Added doc files for bridgetower, removed is_vision

* Add support attention_mask=None and BridgeTowerModelOutput

* Fix formatting

* Fixes with 'make style', 'make quality', 'make fixup'

* Remove downstream tasks from BridgeTowerModel

* Formatting fixes, add return_dict to BT models

* Clean up after doc_test

* Update BTModelOutput return type, fix todo in doc

* Remove loss_names from init

* implement tests and update tuples returned by models

* Add image reference to bridgetower.mdx

* after make fix-copies, make fixup, make style, make quality, make repo-consistency

* Rename class names with BridgeTower prefix

* Fix for image_size in BTImageProcessor

* implement feature extraction bridgetower tests

* Update image_mean and image_std to be list

* remove unused import

* Removed old comments

* Rework CLIP

* update config in tests followed config update

* Formatting fixes

* Add copied from for BridgeTowerPredictionHeadTransform

* Update bridgetower.mdx

* Update test_feature_extraction_bridgetower.py

* Update bridgetower.mdx

* BridgeTowerForMaskedLM is conditioned on image too

* Add BridgeTowerForMaskedLM

* Fixes

* Call post_init to init weights

* Move freeze layers into method

* Remove BTFeatureExtractor, add BT under multimodal models

* Remove BTFeatureExtractor, add BT under multimodal models

* Code review feedback - cleanup

* Rename variables

* Formatting and style to PR review feedback

* Move center crop after resize

* Use named parameters

* Style fix for modeling_bridgetower.py

* Update docs/source/en/model_doc/bridgetower.mdx

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

* Update docs/source/en/model_doc/bridgetower.mdx

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

* Update docs/source/en/model_doc/bridgetower.mdx

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

* Update src/transformers/models/bridgetower/modeling_bridgetower.py

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

* Update src/transformers/models/bridgetower/modeling_bridgetower.py

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

* Update docs/source/en/model_doc/bridgetower.mdx

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

* Update src/transformers/models/bridgetower/modeling_bridgetower.py

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

* Rename config params, copy BERT classes, clean comments

* Cleanup irtr

* Replace Roberta imports, add BTTextConfig and Model

* Update docs, add visionconfig, consistent arg names

* make fixup

* Comments for forward in BTModel and make fixup

* correct tests

* Remove inconsistent roberta copied from

* Add BridgeTowerTextModel to dummy_pt_objects.py

* Add BridgeTowerTextModel to IGNORE_NON_TESTED

* Update docs for BT Text and Vision Configs

* Treat BridgeTowerTextModel as a private model

* BridgeTowerTextModel as private

* Run make fix-copies

* Adding BTTextModel to PRIVATE_MODELS

* Fix for issue with BT Text and Image configs

* make style changes

* Update README_ja.md

Add から to BridgeTower's description

* Clean up config, .mdx and arg names

* Fix init_weights. Remove nn.Sequential

* Formatting and style fixes

* Re-add tie_word_embeddings in config

* update test implementation

* update style

* remove commented out

* fix style

* Update README with abs for BridgeTower

* fix style

* fix mdx file

* Update bridgetower.mdx

* Update img src in bridgetower.mdx

* Update README.md

* Update README.md

* resolve style failed

* Update _toctree.yml

* Update README_ja.md

* Removed mlp_ratio, rename feats, rename BTCLIPModel

* Replace BTCLIP with BTVisionModel,pass in vision_config to BTVisionModel

* Add test_initialization support

* Add support for output_hidden_states

* Update support for output_hidden_states

* Add support for output_attentions

* Add docstring for output_hidden_states

* update tests

* add bridgetowervisionmodel as private model

* rerun the PR test

* Remove model_type, pass configs to classes, renames

* Change self.device to use weight device

* Remove image_size

* Style check fixes

* Add hidden_size and num_hidden_layers to BridgeTowerTransformer

* Update device setting

* cosmetic update

* trigger test again

* trigger tests again

* Update test_modeling_bridgetower.py

trigger tests again

* Update test_modeling_bridgetower.py

* minor update

* re-trigger tests

* Update docs/source/en/model_doc/bridgetower.mdx

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

* Remove pad, update max_text_len, doc cleanup, pass eps to LayerNorm

* Added copied to, some more review feedback

* make fixup

* Use BridgeTowerVisionEmbeddings

* Code cleanup

* Fixes for BridgeTowerVisionEmbeddings

* style checks

* re-tests

* fix embedding

* address comment on init file

* retrigger tests

* update import prepare_image_inputs

* update test_image_processing_bridgetower.py to reflect test_image_processing_common.py

* retrigger tests

Co-authored-by: Shaoyen Tseng <shao-yen.tseng@intel.com>
Co-authored-by: Tiep Le <tiep.le@intel.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com>
2023-01-25 14:04:32 -05:00