GitLab

* a draft version

* v2 integration

* fix

* make it more generic and works for IA3

* add set adapter and multiple adapters support

* fixup

* adapt a bit

* oops

* oops

* oops

* adapt more

* fix

* add more refactor

* now works with model class

* change it to instance method as it causes issues with `jit`.

* add CR

* change method name

* add `add_adapter` method

* clean up

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add moe utils

* fixup

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adapt

* oops

* fixup

* add is_peft_available

* remove `requires_backend`

* trainer compatibility

* fixup + docstring

* more details

* trigger CI

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

* Update src/transformers/modeling_utils.py

* fixup + is_main_process

* added `save_peft_format` in save_pretrained

* up

* fix nits here and there

* nits here and there.

* docs

* revert `encoding="utf-8"`

* comment

* added slow tests before the PEFT release.

* fixup and nits

* let's be on the safe zone

* added more comments

* v1 docs

* add remaining docs

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

* move to `lib_integrations`

* fixup

* this time fixup

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

* address final comments

* refactor to use `token`

* add PEFT to DockerFile for slow tests.

* added pipeline support.

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fix failing 8bit test

* trigger CI

* GTPQ integration

* Add tests for gptq

* support for more quantization model

* fix style

* typo

* fix method

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add dataclass and fix quantization_method

* fix doc

* Update tests/quantization/gptq/test_gptq.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* modify dataclass

* add gtpqconfig import

* fix typo

* fix tests

* remove dataset as req arg

* remove tokenizer import

* add offload cpu quantization test

* fix check dataset

* modify dockerfile

* protect trainer

* style

* test for config

* add more log

* overwrite torch_dtype

* draft doc

* modify quantization_config docstring

* fix class name in docstring

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* more warning

* fix 8bit kwargs tests

* peft compatibility

* remove var

* fix is_gptq_quantized

* remove is_gptq_quantized

* fix wrap

* Update src/transformers/modeling_utils.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add exllama

* skip test

* overwrite float16

* style

* fix skip test

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

* fix docsting formatting

* add doc

* better test

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

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

Revert "Unpin protobuf in docker file (for daily CI) (#24761)"

This reverts commit 45025d92.

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

* Limit Pydantic to V1 in dependencies

Pydantic is about to release V2 release which will break a lot of things. This change prevents `transformers` to be used with Pydantic V2 to avoid breaking things.

* more

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

* fix

* fix

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

byebye

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

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

* fix

* fix

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* fix

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

* fix

* fix

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

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

* unpin tf prob

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

* pong TF prob

* fix

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

* fix mess

* better documentation

* typo

* fix doc

* update

* add test

* fix test

* more tests

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* move to utils

* Apply suggestions from code review
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* nit

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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: Michael Benayoun <mickbenayoun@gmail.com>

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

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

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

* Enable Nightly + Past CI

* put schedule

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

* update docker files to use official torch 2.0.0

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

Revert "Use `dash==2.8.1` for now for daily CI (#22227)"

This reverts commit 53218671.

Use dash 2.8.1 for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Deal with torch-tensorrt

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

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

* Use PyAV instead of Decord

* Get frame indices

* Fix number of frames

* Update src/transformers/models/videomae/image_processing_videomae.py

* Fix up

* Fix copies

* Update timesformer doctests

* Update docstrings

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

* Fix docker image build issue

* remove comment

* Add comment

* Update docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

Recompile apex in DeepSpeed CI image
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

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

Uninstall torch_tensorrt for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

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

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

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

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