Commit Graph

15053 Commits

Author SHA1 Message Date
Sylvain Gugger
ee6e71e29c
Fix quality 2023-02-22 03:36:15 -05:00
Younes Belkada
24b930ad1d
[MBart] Fix cross attention mask check (#21730)
fix typo
2023-02-22 09:21:25 +01:00
Aaron Gokaslan
5e8c8eb5ba
Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
Kashif Rasul
df06fb1f0b
Time series transformer: input projection and Std scaler (#21020)
* added loc and scale outputs from scalers

* fix typo

* fix tests

* fixed formatting

* initial StdScaler

* move scaling to optional str

* calculate std feature for scalers

* undid change as it does not help

* added StdScaler with weights

* added input projection layer and d_model hyperparam

* use linear proj

* add back layernorm_embedding

* add sin-cos pos embeddings

* updated scalers

* formatting

* fix type

* fixed test

* fix repeated_past_values cal.

* fix when keepdim=false

* fix default_scale

* backward compatibility of scaling config

* update integration test expected output

* fix style

* fix docs

* use the actual num_static_real_features in feature_dim cal

* clarified docs

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* prediction_length is not optional

* fix for reviewer

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* get rid of un-needed new lines

* fix doc

* remove unneeded new lines

* fix style

* static_categorical_features and static_real_features are optional

* fix integration test

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* fixing docs for multivariate setting

* documentation for generate

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-22 07:50:13 +01:00
mollerup23
bb5a2f2fc3
Adding type hints to call() functions in this file (#21548)
* Adding type hints to call() functions in this file

* make fixup

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

---------

Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
2023-02-21 16:28:33 +00:00
Maria Khalusova
78a53d59cb
Adding task guides to resources (#21704)
* added resources: links to task guides that support these models

* minor polishing

* conflict resolved

* link fix

* Update docs/source/en/model_doc/vision-encoder-decoder.mdx

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

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-21 10:35:11 -05:00
Yih-Dar
03aaac3502
Fix TVLT (torch device issue) (#21710)
* fix tvlt ci

* fix tvlt ci

* fix tvlt ci

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-21 11:37:49 +01:00
Yih-Dar
4c6346cc3e
Fix get_class_in_module (#21709)
Fix get_class_in_module

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-21 09:39:15 +01:00
Yih-Dar
ed6ceb7649
Fix typo in PROCESSOR_MAPPING_NAMES and add tests (#21703)
* Add test

* Fix GITProcessor

* Update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-21 09:38:26 +01:00
Arthur
4deaa534f5
remove position ids and token type ids from forward args in docstring (#21701) 2023-02-21 07:01:36 +01:00
Ishan Jindal
c40e3581c7
Fix axial positional encoding calculations for reformer.mdx (#21649)
* Update reformer.mdx

Fix axial positional encoding calculations

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

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

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2023-02-21 06:59:51 +01:00
Jonatan Kłosko
deafc24388
Add WhisperTokenizerFast (#21222)
* Add WhisperTokenizerFast

* Fixup

* Up

* Up

* Improve tests

* Update src/transformers/models/whisper/tokenization_whisper_fast.py

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

* Keep stride in whisper pipelien test

* Remove unknown token special case

* Reduce vocabulary size in tests

* Fix vocab size assertion

* Sync copied changes from WhisperTokenizer

* Skip pipeline tests

* Update assertion

* Remove Whisper tokenizer dependency on sentencepiece

* Format

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2023-02-21 06:58:54 +01:00
Sylvain Gugger
8b3db33a76
Pass along revision in dynamic code fetch (#21698) 2023-02-20 21:21:42 +01:00
Arthur
4194e5f42b
Fix-rag-finetune-project-requirement (#21697)
pin pytorch lightning requirement
2023-02-20 17:23:39 +01:00
Alara Dirik
49ab16239c
Add EfficientNet (#21563)
* Add EfficientNet to transformers
2023-02-20 16:37:11 +03:00
Younes Belkada
c9a0671477
[bnb] fix bnb decoders bug (#21688)
* fix `bnb` decoders bug

* make fixup
2023-02-20 12:21:58 +00:00
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
Sylvain Gugger
c87bbe1ff0
Fix quality 2023-02-20 03:27:09 -05:00
Morgan McGuire
011cc17a81
Fix for non-contiguous label tensors in VisonEncoderDecoder (#21582)
* add prints

* add shape

* add reshape

* clean up
2023-02-20 09:23:46 +01:00
Andy Ehrenberg
2840272c5f
add flax whisper implementation (#20479)
* add flax whisper implementation

* rever change to setup

* remove unused imports

* revert generation changes

* flax whisper docs

* docs

* import order

* import sorting

* isort

* add dummy objects

* doc formatting

* formatting

* remove trailing whitespaces

* fix flax whisper docs

* add generation logic to unlock flax whisper

* remove scans

* give credits to Flax Bart implementation

* remove unused imports

* add license

* remove assert

* more credits to Bart

* fix style

* formatting

* support left padding

* add flax whisper generation test

* remove copied from comments whenever not a full copy

* fix docstrings for logits processors

* revert change to FlaxForceTokensLogitsProcessor

* revert doc changes

* improve generation docs

* reorganize

* formatting

* cleanup docs

* add tests

* handle empty list case

* fix forced decoder ids in flax tests

* add flax whisper to inits

* upate dummy objects

* docs for FlaxAutoModelForSpeechSeq2Seq

* fix decoder_position_ids computation in pretrained model decode/__call__ fns

* add Copied from statements as necessary

* compute position_ids only in __call__ and decode methods of pretrained model subclasses

* improve readabilityof compute positional embeddings

* check dimensionality of input_features instead of hidden_states

* copied from statement for init_cache

* formatting

* fix copies

* fix copies

* pass attention mask to encoder layers

* fix decoder module outputs

* set dtype

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

* smaller flax model for whisper test

* Update src/transformers/generation/flax_utils.py

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

* Update src/transformers/models/whisper/modeling_flax_whisper.py

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

* Update tests/models/whisper/test_modeling_flax_whisper.py

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

* cleanup

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

* Update src/transformers/models/whisper/modeling_flax_whisper.py

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

* bias cleanup

* doc fix

* align style for force tokens processor

* readability

* fix input shape in tests

* revert FlaxGenerationMixin docstring

* formatting

* fix tests

* fix imports

* consistent encoder hidden states

* consistent hidden states

* input shapes

* typo

* partial class trick

* partial class for input shape

* base_class with correct input shape

* partial base classes

* match by name

* set main_input_name

* compare on names

* formatting

* remove unused import

* safer position ids computation

* safer position id computation

* Update src/transformers/models/whisper/modeling_flax_whisper.py

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

* Update src/transformers/models/whisper/modeling_flax_whisper.py

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

* remove identical inherited tests

* fix prompt ids in tests

* use generation config

* use jnp array

* better var names

* more explicit bias use

* import transformers

* formatting

* test formatting

* remove unused imports

* remove unused imports

* formatting

* isort

* docs

* fix ln orders for encoder hidden states

* whisper unique generation stuff

* flake

* use finfo for attention bias

* docs

* Update src/transformers/generation/flax_utils.py

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

* docs

* add timestamp flax test

* jit for timestamps

* formatting

* clean up timestamps processor

* formatting

* remove if_true

* cleanup

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2023-02-20 09:17:40 +01:00
AlexWertheim
7735e0406f
Enable PyTorch/XLA Fully Sharded Data Parallel (FSDP) (#21406)
* Reinserted import statement accidentally removed during rebasing.

* Added auto_wrap functionality, restructured XLA FSDP logic to more closely match PyTorch FSDP logic.

* Fixed flag descriptions; changed several instances of fsdp_ to xla_fsdp_; pass in auto_wrap_policy and auto_wrapper_callable directly to avoid lambda saving.

* Moved XLA FSDP logic to be adjacent to Fairscale FSDP logic in trainer.

* Formatted changes in accordance with HF style requirements.

* Added back in warning which was accidentally removed.

* - Merged XLA FSDP training arguments into `fsdp_config`
- Added `xla` boolean flag to `fsdp_config` to specify XLA FSDP wrapping
- Merged XLA FSDP wrapping logic into FSDP wrapping logic within trainer
  class

* Cleaned up errors, moved argument to fsdp_config

- Set `xla` and `xla_fsdp_grad_ckpt` flags by default in fsdp_config
- Added missing colons following conditionals
- Moved `fsdp_transformer_layer_cls_to_wrap` to `fsdp_config`
- Modified `fsdp_transformer_layer_cls_to_wrap` to be list of strings,
  not just one string
- Changed Fairscale FSDP logic to allow for set of layer classes to wrap
- Removed unnecessary checks for `xla_fsdp`

* Corrected small errors, improved layer class flag

- Correctly set default values for `xla` and `xla_fsdp_grad_ckpt`
  arguments
- Made `fsdp_transformer_layer_cls_to_wrap` a list of strings instead of
  a single string
- Added processing to ensure that `fsdp_transformer_layer_cls_to_wrap`
  works as expected if passed as a single string
- Updated PyTorch FSDP logic to accept a list of layers to wrap, as done
  with XLA FSDP
- Replaced instances of `getattr()` with `.get()` for dictionary
  retrievals with default values, including when setting
  `fsdp_min_num_params`
- Corrected `self.fsdp is not None` to `len(self.fsdp) > 0`
- Removed extraneous `xla_fsdp` argument descriptions from outside
  `fsdp_config`

* Changed xla-fsdp-settings to be dictionary

- Modified xla-fsdp-settings to be entered directly as dictionary
  instead of loaded through JSON file
- Made small style corrections

* Reverted unintentional local_rank TPU check

* Do not block XLA FSDP if local rank is -1

* Rebased and applied automatic formatting

- Rebased
- Applied automatic formatting changes via `make style`

* Applied automatic formatting with latest version of black

* Replaced  expression with

* Reran black examples tests src utils
ruff examples tests src utils --fix
make autogenerate_code
make[1]: Entering directory '/usr/local/google/home/awertheim/HF-FSDP-PR/transformers'
make[1]: Leaving directory '/usr/local/google/home/awertheim/HF-FSDP-PR/transformers' after additional formatting changes

* Additionall automatic formatting changes

* Remove unnecessary whitespace characters from src/transformers/training_args.py

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

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2023-02-20 09:06:23 +01:00
Yih-Dar
7f1cdf1895
Fix dynamic module import error (#21646)
* fix dynamic module import error

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-17 21:22:39 +01:00
Younes Belkada
8a4c319d33
[BLIP] update blip path on slow tests (#21476)
* update blip path

* Update tests/models/blip/test_modeling_blip.py
2023-02-17 18:26:36 +00:00
Younes Belkada
087fd5f368
[ImageProcessor] Refactor default mean & std to OPENAI_CLIP_MEAN & OPENAI_CLIP_STD (#21425)
* fix default value

* add the fix on other models
2023-02-17 18:57:05 +01:00
Joao Gante
005b515754
Generate: eta sampling numerical stability (#21676) 2023-02-17 17:09:37 +00:00
Yoshinari Fujinuma
bb6a664e14
Fix multi-gpu training error for LayoutLMv2 (#21675)
Co-authored-by: Yoshinari Fujinuma <fujinuy@amazon.com>
2023-02-17 17:04:11 +00:00
Younes Belkada
a8eb4f79f9
[CLAP] Fix few broken things (#21670)
* add `is_longer`

* fix docstring

* fix config class

* fix loss

* fix all doctests

* fix order

* fix last failing tests

---------

Co-authored-by: arthur.zucker@gmail.com <arthur.zucker@gmail.com>
2023-02-17 11:32:14 +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
Steven Anton
f16d29b337
Adapt PerceiverIO Multimodal class to work with arbitrary modalities (#20054)
* * Properly register parameters in PerceiverMultimodalPreprocessor
* Adapt PerceiverTextPreprocessor to work with PerceiverMultimodalPreprocessor
* Change a few type hints

* Fix formatting; incorrect return type

* Return embeddings_wo_pos

---------

Co-authored-by: Steven Anton <antonstv@amazon.com>
2023-02-16 16:51:00 -05:00
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
Sylvain Gugger
6b0257de42
Sort deps alphabetically 2023-02-16 13:27:27 -05:00
Alissa
b0f0086fa4
Add OPT resources to the transformers documentation (#21625)
* Add resources to OPT

* Add additional resources for OPT

* Remove -{" "} after <PipelineTag pipeline="question-answering" />

* Change bitsnbytes to bitsandbytes

* Revert formatting

* Revert automatic format changes

* Remove - sign after <PipelineTag pipeline="question-answering" />
2023-02-16 12:44:28 -05:00
Stas Bekman
61d7fec87a
[bloom] gradient_checkpointing fix (#21655)
Update modeling_bloom.py
2023-02-16 08:57:19 -08:00
Connor Henderson
0f96c26de6
refactor: Make direct_transformers_import util (#21652)
* refactor: Make direct_import util

* edit direct import fn

* add docstring

* make import function specific to transformers only

* edit doc string
2023-02-16 11:32:32 -05:00
Jonatas Grosman
96d4fa46ed
[WhisperModel] fix bug in reshaping labels (#21653)
fix bug in reshaping labels
2023-02-16 16:00:46 +01:00
dependabot[bot]
fcfd4ec789
Bump werkzeug from 2.0.3 to 2.2.3 in /examples/research_projects/decision_transformer (#21658)
Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.0.3 to 2.2.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/2.0.3...2.2.3)

---
updated-dependencies:
- dependency-name: werkzeug
  dependency-type: direct:production
...

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2023-02-16 09:23:43 -05:00
Xiaoyang Chen
212c42a1e3
Update document of WhisperDecoderLayer (#21621)
* Update document of WhisperDecoderLayer

* Update modeling_mbart.py

* Update doc with utils/check_copies.py --fix_and_overwrite

* Update modeling_xlm_prophetnet.py
2023-02-16 09:19:59 -05:00
Jannis Vamvas
61abe3290b
[WIP] Move X-MOD models to facebook organization (#21640)
Move X-MOD models to facebook org
2023-02-16 09:18:25 -05:00
regisss
751f17aa48
Fix typos in contrastive-image-text example README (#21665) 2023-02-16 09:10:25 -05:00
Sylvain Gugger
9d1116e995
Update deprecated load_module (#21651) 2023-02-15 15:57:24 -05:00
Joao Gante
1567bef3b3
Generate: PT Dynamo without graph breaks in the main greedy/sample loop (#21648) 2023-02-15 20:16:46 +00:00
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

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* Update

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2023-02-15 18:10:30 +00:00
Bruno Alvisio
7bac51837b
Pass parent exception as context exception to provide clearer stack trace (#21636)
* Pass parent exception as context exception to provide clearer stack trace

* Update src/transformers/tokenization_utils_base.py

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---------

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2023-02-15 11:34:02 -05:00
amyeroberts
3499c49c17
Skipping more high mem tests - Wav2Vec2 Hubert (#21647)
Skipping more tests
2023-02-15 16:00:50 +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
Bruno Alvisio
40ca13367e
Fix passing kwargs to TFBertTokenizer (#21619) 2023-02-15 09:18:48 -05:00
amyeroberts
fc28c006a6
Skip wav2vec2 hubert high mem tests (#21643)
* Skip high memory tests

* Skip high memory tests

* Remove unused import
2023-02-15 14:17:26 +00:00
Yih-Dar
e3d832ff87
Fix Blip-2 CI again (#21637)
* fix blip-2 ci

* fix blip-2 ci

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2023-02-15 10:59:42 +01:00
Matthew McDermott
762dda44de
Remove extra "max_length is reached." from InfNaNLogitsProcessor documentation (#21634)
* Fix typo in documentation.

* Remove trailing words typo in documentation.
2023-02-14 16:12:22 -05:00