GitLab

* nit

* nit and fmt skip

* fixup

* Update src/transformers/convert_slow_tokenizer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set to true

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

* Add test for square image that fails

* Fix for square images

* Extend test cases

* Fix resizing in tests

* Style fixup

* nuke

* add co-author

* add co-author

* update card

* fixup and fix copies to please our ci

* nit fixup

* super small nits

* remove tokenizer_path from call to `write_model`

* always safe serialize by default

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

* You should not pass
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

Remove mentions of models in the READMEs and link to the documentation page in which they are featured. (#30420)

* REAMDEs

* REAMDEs v2

* Remove add-new-model in favor of add-new-model-like

* nits

* push legacy to fast as well

* super strange

* Update src/transformers/convert_slow_tokenizer.py

* make sure we are BC

* fix Llama test

* nit

* revert

* more test

* style

* update

* small update w.r.t tokenizers

* nit

* don't split

* lol

* add a test for `add_prefix_space=False`

* fix gemma tokenizer as well

* update

* fix gemma

* nicer failures

* fixup

* update

* fix the example for legacy = False

* use `huggyllama/llama-7b` for the PR doctest

* nit

* use from_slow

* fix llama

* Fix use_cache for xla fsdp

* Fix linters

torch.run does not exist anywhere as far as I can tell.

* Remove old TF port guide

* repo-consistency

* Remove some translations as well for consistency

* Remove some translations as well for consistency

* fix

* try suggestion

* update

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

Update Dockerfile

* fix for itemsize => element_size() for torch backwards compat

* improve handling of element counting

* Update src/transformers/modeling_utils.py

* fixup

* Update src/transformers/modeling_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* clean commit history I hope

* get kv seq length correctly

* PR suggestions

* Update src/transformers/testing_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add comment

* give gpt bigcode it's own overriden method

* remove code

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

scipy pin for jax

* add cuda flag

* check for sdpa

* add bitsandbytes

fix: link to HF repo tree when a file is missing

* Added cross attention support

* Fixed dtypes

* Fixed assumption

* Moved to decoder

* Add inputs embeds in generation

* always scale embeds

* fix-copies

* fix failing test

* fix copies once more

* remove embeds for models with scaling

* second try to revert

* codestyle

* first draft

* feedback

* static cache snippet

* feedback

* feedback

* [FEAT]: EETQ quantizer support

* Update quantization.md

* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update docs/source/en/quantization.md
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update docs/source/en/quantization.md
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/__init__.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/__init__.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* [FEAT]: EETQ quantizer support

* [FEAT]: EETQ quantizer support

* remove whitespaces

* update quantization.md

* style

* Update docs/source/en/quantization.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add copyright

* Update quantization.md

* Update docs/source/en/quantization.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/quantization.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Address the comments by amyeroberts

* style

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Marc Sun <marc@huggingface.co>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add sdpa to wav2vec.
Co-authored-by: kamilakesbi <kamil@huggingface.co>
Co-authored-by: jp1924 <jp42maru@gmail.com>

* add fa2 to wav2vec2

* add tests

* fix attention_mask compatibility with fa2

* minor dtype fix

* replace fa2 slow test

* fix fa2 slow test

* apply code review + add fa2 batch test

* add sdpa and fa2 to hubert

* sdpa and fa2 to data2vec_audio

* sdpa and fa2 to Sew

* sdpa to unispeech + unispeech sat

* small fix

* attention mask in tests
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* add_speedup_benchmark_to_doc

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Co-authored-by: kamil@huggingface.co <kamil.akesbi@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

pass device correctly to peft

* Add class_embed to tied weights for DETA

* Fix test_tied_weights_keys for DETA model

* Replace error raise with assert statement

fix test

Update optimization.py

* stash commit (will discard all of this)

* stash commit

* First commit - needs a lot of testing!

* Add a test

* Fix imports and make the tests actually test something

* Tests pass!

* Rearrange test

* Add comments (but it's still a bit confusing)

* Stop storing the tokenizer

* Comment fixup

* Fix for input_ids with a single sequence

* Update tests to test single sequences

* make fixup

* Fix incorrect use of isin()

* Expand tests to catch more cases

* Expand tests to catch more cases

* make fixup

* Fix length calculation and update tests

* Handle Ġ as a space replacement too

* Update src/transformers/generation/stopping_criteria.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Add optimizations from Joao's suggestion

* Remove TODO

* Update src/transformers/generation/stopping_criteria.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update tests/generation/test_stopping_criteria.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* make fixup

* Rename some variables and remove some debugging clauses for clarity

* Add tests for the sub-methods

* Clarify one test slightly

* Add stop_strings to GenerationConfig

* generate() supports stop_string arg, asks for tokenizer if not provided

* make fixup

* Cleanup code and rename variables for clarity

* Update tokenizer error

* Update tokenizer passing, handle generation on GPU

* Slightly more explanation cleanup

* More comment cleanup

* Factor out the token cleanup so it's more obvious what we're doing, and we can change it later

* Careful with that cleanup!

* Cleanup + optimizations to _get_matching_positions

* More minor performance tweaks

* Implement caching and eliminate some expensive ops (startup time: 200ms -> 9ms)

* Remove the pin_memory call

* Parallelize across all stop strings!

* Quick fix for tensor devices

* Update embeddings test for the new format

* Fix test imports

* Manual patching for BERT-like tokenizers

* Return a bool vector instead of a single True/False

* Better comment

* Better comment

* Add tests from @zucchini-nlp

* Amy's list creation nit

* tok_list -> token_list

* Push a big expanded docstring (should we put it somewhere else?)

* Expand docstrings

* Docstring fixups

* Rebase

* make fixup

* Make a properly general method for figuring out token strings

* Fix naming throughout the functions

* Move cache, refactor, fix tests

* Add comment

* Remove finished TODO

* Remove finished TODO

* make fixup

* Update src/transformers/generation/stopping_criteria.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update and shorten docstring

* Update tests to be shorter/clearer and test specific cases

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

* Update docstrings for text generation pipeline

* Fix docstring arg

* Update docstring to explain chat mode

* Fix doctests

* Fix doctests

* nit to make sure cache positions are not sliced

* fix other models

* nit

* style

* Add FSDP config for CPU RAM efficient loading

* Style fix

* Update src/transformers/training_args.py
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Update src/transformers/training_args.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add sync_module_states and cpu_ram_efficient_loading validation logic

* Update src/transformers/training_args.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Style

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

* warn if pad token is negative

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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

* feat: support for vitmatte

* feat: support for vivit

* feat: support for beit

* feat: support for blip :D

* feat: support for data2vec

* Update llava_next.md

* Update seggpt.md

* Add resources

* Address comments

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* Duplicate swiftformer

* Convert SwiftFormerPatchEmbedding

* Convert SwiftFormerEmbeddings

* Convert TFSwiftFormerMlp

* Convert TFSwiftFormerConvEncoder

* Convert TFSwiftFormerLocalRepresentation

* convert TFSwiftFormerEncoderBlock

* Convert SwiftFormerStage

* Convert SwiftFormerEncoder

* Add TFSWiftFormerPreTrainedModel

* Convert SwiftFormerForImageClassification

* Add kwargs and start drop path

* Fix syntax

* Change Model class name

* Add TFSwiftFormer to __init__

* Duplicate test_modeling_swiftformer

* First test conversions

* Change require_torch to require_tf

* Add exports to swiftformer __init__

* Add TFSwiftFormerModel wrapper

* Fix __init__ and run black

* Remove docstring from MainLayer, fix padding

* Use keras.layers.Activation on keras.Sequential

* Fix swiftformer exports

* Fix activation layer from config

* Remove post_inits

* Use tf.keras.layers.ZeroPadding2D

* Convert torch normalize...

* Update modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py