GitLab

* updated resources for LayoutLM

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fixed formatting, removed extra section

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

* * Remove unused type_vocab_size

* Remove unused initializer_factor

* Remove unused n_embd

* Remove unused scale_embedding

* Remove unused scale_attn_weights

* fix

* fix

* Remove unused head_hidden_scale

* Remove unused activation_dropout

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Add accepting `.generate()` calls with `inputs_embeds` on BLOOM models

* Add VQGAN-CLIP research project

* fixed style issues

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/requirements.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/loaders.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* replace CLIPProcessor with tokenizer, change asserts to exceptions

* rm unused import

* remove large files (jupyter notebook linked in readme, imgs migrated to hf dataset)

* add tokenizers dependency

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

* rm model checkpoints

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Co-authored-by: Erwann Millon <erwann@Erwanns-MacBook-Air.local>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* 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

input_ids_seq_length doesn't exist in the GenerationConfig, it exists as local variable in the function.

Setting exponential_decay_length_penalty therefore results in an error:
`AttributeError: 'GenerationConfig' object has no attribute 'input_ids_seq_length'`

This simple change fixes this issue, and the exponential_decay_length_penalty works as expected.

fix formatting

* fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Allow to add more information

* fix style

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* force `memory_efficient_backward=True`

* enhancements

- trainer support
- add new flag

* some changes

- internal changes in `Trainer`
- small refactor

* make quality

* Fixes

- add new testing util
- add new test
- change test in Trainer

* fix CI test

* educate users on how to ft 8bit models

* more checks

* fix `logger` error

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* adapt from review

* fix

* add comment

* use return instead

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

* [FIX] path for Graphormer checkpoint

* [FIX] Test suite for graphormer

* [FIX] Update graphormer default num_classes

* gelu_python_tanh

* rename

* Version check, add test

* Pr comment

* Add distinct section names for PyTorch and TF

* Remove extra space

Co-authored-by: Shreshth Tuli <shreshthtuli@gmail.com>

Use torch 1.13.1 in push/scheduled CI
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* TF image classification script

* Update requirements

* Fix up

* Add tests

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

* Fix directory path

* Adding `zero-shot-object-detection` pipeline doctest. (#20274)

* Adding `zero-shot-object-detection` pipeline doctest.

* Remove nested_simplify.

* Add generate kwargs to `AutomaticSpeechRecognitionPipeline` (#20952)

* Add generate kwargs to AutomaticSpeechRecognitionPipeline

* Add test for generation kwargs

* Trigger CI

* Data collator returns np

* Update feature extractor -> image processor

* Bug fixes - updates to reflect changes in API

* Update flags to match PT & run faster

* Update instructions - Maria's comment

* Update examples/tensorflow/image-classification/README.md

* Remove slow decorator

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: bofeng huang <bofenghuang7@gmail.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* integrated logger

* bugifx

* added data

* bugfix

* model + state artifacts should log

* fixed paths

* i lied, trying again

* updated function call

* typo

this is painful :( what a stupid error

* typo

this is painful :( what a stupid error

* pivoted to adding a directory

* silly path bug

* multiple experiments

* migrated to getattr

* syntax fix

* syntax fix

* fixed repo pointer

* fixed path error

* added dataset if dataloader is present, uploaded artifacts

* variable in scope

* removed unnecessary line

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

* trimmed unused variables, imports

* style formatting

* removed type conversion reliance
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* reverted accidental line deletion

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

* Skip batches fast with Accelerate

* remove debug statement

* Hack seed reload at the right time

* Reorganize RNG sync

* Fix accelerate version comp

* Fix the input embeds issue with tests

* Fix black and isort issue

* Clean up tests

* Add slow tag to the test introduced

* Incorporate PR feedbacks

moved LiLT under multimodal models

* Bump onnx in /examples/research_projects/decision_transformer

Bumps [onnx](https://github.com/onnx/onnx) from 1.11.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](https://github.com/onnx/onnx/compare/v1.11.0...v1.13.0

)

---
updated-dependencies:
- dependency-name: onnx
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>

* adapt

* finish

* Update examples/research_projects/decision_transformer/requirements.txt

* up

* add tests

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix test

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Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Generate: fix TF XLA tests on models with `max_position_embeddings` or `max_target_positions` (#21389)

* remove unused classifier_dropout

* remove unused dropout

* remove unused pooler_fn

* remove unnecessary is_encoder_decoder

* remove unnecessary drop_rate

* remove unused classifier_dropout

* remove unused classifier_dropout

* remove unused dropout

* remove unused dropout

* remove unused summary_* attributes

* remove unused tie_word_embeddings

* remove unused summary_* attributes

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add support of backward_prefetch and forward_prefetch

* Fix format issue

* Fix isort issue

* Fix doc style issue

* Update src/transformers/trainer.py
Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* Update src/transformers/training_args.py
Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* Update src/transformers/training_args.py
Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* Update src/transformers/training_args.py
Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* Fix black issue

* Fix doc-style issue

* Make additional fsdp parameters into fsdp config

* Fix black issue

* Remove unused imports

* Fix doc style issues

* Incorporate PR feedbacks

* Remove unused imports

* Fix tests

* Fix tests

* Fix tests

* Fix tests

* Fix tests

* Update src/transformers/training_args.py
Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* Fix tests

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Fix black issues

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Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* simplify column_names in run_clm

* simplify column_names in run_mlm

* minor

* Improve docs

* Add DETA resources

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Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

Do not log the generation config for each iteration

* fix

* fix

* make style

* For CLIP

* For OwlViT

* For XCLIP

* For CLIPSeg

* For GroupViT

* fix docstrings

* fix docstrings

* For AltCLIP

* For ChineseCLIP

* For Blip

* For GiT

* make style

* update

* update

* update

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 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

* [run_clm example] add streaming dataset support

* unrefactor kwargs

* fix

* fix

* require datasets>=2.0.0

* port to mlm

translate index to zh
Co-authored-by: bfss <bfss@bfss.com>

* Added resource section to GPT-J docs

* Added most of the links found

* Addressing review comments

* Fixing formatting

* Update docs/source/en/model_doc/gptj.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Fixing one of the labels

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

[FIX] path for Graphormer checkpoint

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

* Fix annotation check

* Fix annotation check

* Update type annotations