GitLab

* First test

* Add info for all models

* style

* Repo consistency

* Fix last model and cleanup prints

* Repo consistency

* Use consistent function for detecting tied weights

* Porting changes from https://github.com/microsoft/DeBERTa/ that hopefully allows for fp16 training of mdeberta

* Updates to deberta modeling from microsoft repo

* Performing some cleanup

* Undoing changes that weren't necessary

* Undoing float calls

* Minimally change the p2c block

* Fix error

* Minimally changing the c2p block

* Switch to torch sqrt

* Remove math

* Adding back the to calls to scale

* Undoing attention_scores change

* Removing commented out code

* Updating modeling_sew_d.py to satisfy utils/check_copies.py

* Missed changed

* Further reduce changes needed to get fp16 working

* Reverting changes to modeling_sew_d.py

* Make same change in TF

* fix: TextIteratorStreamer cannot work with pipeline

Deepcopying the TextIteratorStreamer object causes the exception.
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Update src/transformers/pipelines/text_generation.py

Got it. I will update the patch.
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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

* Update text_generation.py

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Signed-off-by: yuanwu <yuan.wu@intel.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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

* fix dtype init

* fix copies

* fix fixcopies mess

* edit forward as well

* copy

* fix

* fix

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

Fix test

* Working integration

* Fix failing test

* Revert label host logic

* Bring it back!

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

* Change ProgressCallback to use dynamic_ncols=True

* style: make style

* Revert "style: make style"

This reverts commit dee484904cd30a072d80e3be0a3d74a03cff30c6.

* run make style only trainer_callback

Add fix

* fix

* fix

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

* Tool types

* Tests + fixes

* Isolate types

* Oops

* Review comments + docs

* Tests + docs

* soundfile -> vision

* small tokenizer uses `__start__` and `__end__`

* fix PR doctest

* Update documentation

* nits

* fix sam test

* update pipeline typehint

* fix the deepspeed test failures

* apex fix

* FSDP save ckpt fix

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

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

* fix bnb config json serialization

* forward contrib credits from discussions

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

* preventllama fast from returning token type ids

* remove type hints

* normalised False

* Fix typo in Llama docstrings
Signed-off-by: Serge Panev <spanev@nvidia.com>

* Update
Signed-off-by: Serge Panev <spanev@nvidia.com>

* make style
Signed-off-by: Serge Panev <spanev@nvidia.com>

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Signed-off-by: Serge Panev <spanev@nvidia.com>

* add trust_remote_code option

* require_torch

[`GPT2`] Add correct keys on `_keys_to_ignore_on_load_unexpected` on all child classes of `GPT2PreTrainedModel` (#24113)

* add correct keys on `_keys_to_ignore_on_load_unexpected`

* oops

* fix get_keys_to_not_convert funct

* Fix style

* v1

* some refactor

- add ST format as well

* fix

* add `ADAPTER_WEIGHTS_NAME` & `ADAPTER_SAFE_WEIGHTS_NAME`

* Add AzureOpenAiAgent

* quality

* Update src/transformers/tools/agents.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

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

* Min accelerate

* Also min version

* Min accelerate

* Also min version

* To different minor version

* Empty

* fix mixed precision prep during eval only mode

* update to address comments

* update to reflect the changes in accelerate