GitLab

* Add a use_safetensors arg to TFPreTrainedModel.from_pretrained()

* One more catch!

* One more one more catch

* fix test

* reduce length

* smaller model

* added args to the pipeline

* added test

* more sensical tests

* fixup

* docs

* typo
;

* docs

* made changes to support named args

* fixed test

* docs update

* styles

* docs

* docs

* Add the XPU check for pipeline mode

When setting xpu device for pipeline, It needs to use is_torch_xpu_available to load ipex and determine whether the device is available.
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Don't move model to device when hf_device_map isn't None

1. Don't move model to device when hf_device_map is not None
2. The device string maybe includes the device index, so use 'in'instead of equal
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Raise the error when xpu is not available
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Update src/transformers/pipelines/base.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/pipelines/base.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Modify the error message
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Change message format.
Signed-off-by: yuanwu <yuan.wu@intel.com>

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Signed-off-by: yuanwu <yuan.wu@intel.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* v1 tags

* remove unneeded conversion

* v2

* rm unneeded warning

* add more utility methods

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

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* more enhancements

* oops

* merge tags

* clean up

* revert unneeded change

* add extensive docs

* more docs

* more kwargs

* add test

* oops

* fix test

* Update src/transformers/modeling_utils.py
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Update src/transformers/modeling_utils.py

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

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

* add more conditions

* more logic

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* fix

* fix

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

Update warning, a word was missing

Fix URL to Ai Sweden Models reference and model loading

* fix candidate device

* this line shouldn't have been in

* MVP

* fix ci

* more ci

* remove redundant kwarg

* added and wired up PromptLookupCandidateGenerator

* rebased with main, working

* removed print

* style fixes

* fix test

* fixed tests

* added test for prompt lookup decoding

* fixed circleci

* fixed test issue

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

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

* Update src/transformers/generation/candidate_generator.py

* Update src/transformers/generation/candidate_generator.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fix TF Regnet docstring

* Fix TF Regnet docstring

* Make a change to the PyTorch Regnet too to make sure the CI is checking it

* Add skips for TFRegnet

* Update error message for docstring checker

Fix xlnet torch.ones usage
Co-authored-by: sungho-ham <sungho.ham@linecorp.com>

Bump jinja2 in /examples/research_projects/decision_transformer

Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.3 to 3.1.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.3...3.1.3

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* add mixtral fused modules

* add changes from modeling utils

* add test

* fix test + rope theta issue

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

* add tests

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

* Update meatdata loading for oneformer

* Enable loading from a model repo

* Update docstrings

* Fix tests

* Update tests

* Clarify repo_path behaviour

* Mark two logger tests as flaky

* Add description to is_flaky

* add llava + fused modules

* Update src/transformers/models/llava/modeling_llava.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* [docs] Fix broken link
Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

* [docs] Use shorter domain
Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

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Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

* update version for cpu training

* update docs for cpu training

* fix readme

* fix readme

* fix

* fix

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

* Correct the implementation of auxiliary loss of mixtrtal

* correct the implementation of auxiliary loss of mixtrtal

* Implement a simpler calculation method

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Co-authored-by: zhangliangxu3 <zhangliangxu3@jd.com>

* Correctly resolve trust_remote_code=None for AutoTokenizer

* Second attempt at a proper resolution

* chore(phi): Updates configuration_phi with missing keys.

* chore(phi): Adds first draft of combined modeling_phi.

* fix(phi): Fixes according to latest review.

* fix(phi): Removes pad_vocab_size_multiple to prevent inconsistencies.

* fix(phi): Fixes unit and integration tests.

* fix(phi): Ensures that everything works with microsoft/phi-1 for first integration.

* fix(phi): Fixes output of docstring generation.

* fix(phi): Fixes according to latest review.

* fix(phi): Fixes according to latest review.

* fix(tests): Re-enables Phi-1.5 test.

* fix(phi): Fixes attention overflow on PhiAttention (for Phi-2).

* fix(phi): Improves how queries and keys are upcast.

* fix(phi): Small updates on latest changes.

* optionally preprocess segmentation maps for mobilevit

* changed pretrained model name to that of segmentation model

* removed voc-deeplabv3 from model archive list

* added preprocess_image and preprocess_mask methods for processing images and segmentation masks respectively

* added tests for segmentation masks based on segformer feature extractor

* use crop_size instead of size

* reverting to initial model

While using `run_clm.py`,[^1] I noticed that some files were being added
to my global cache, not the local cache. I set the `cache_dir` parameter
for the one call to `evaluate.load()`, which partially solved the
problem. I figured that while I was fixing the one script upstream, I
might as well fix the problem in all other example scripts that I could.

There are still some files being added to my global cache, but this
appears to be a bug in `evaluate` itself. This commit at least moves
some of the files into the local cache, which is better than before.

To create this PR, I made the following regex-based transformation:
`evaluate\.load\((.*?)\)` -> `evaluate\.load\($1,
cache_dir=model_args.cache_dir\)`. After using that, I manually fixed
all modified files with `ruff` serving as useful guidance. During the
process, I removed one existing usage of the `cache_dir` parameter in a
script that did not have a corresponding `--cache-dir` argument
declared.

[^1]: I specifically used `pytorch/language-modeling/run_clm.py` from
v4.34.1 of the library. For the original code, see the following URL:
https://github.com/huggingface/transformers/tree/acc394c4f5e1283c19783581790b3dc3105a3697/examples/pytorch/language-modeling/run_clm.py.

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

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

* change truncate_sequences

* Update tokenization_utils_base.py

* change format

* fix when ids_to_move=0

* fix

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

Enable multi-label image classification

* Assitant model may on a different device

* fix tensor device

* [Whisper] Fix slow test

* update

* update

* update

* update

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

* Remove ErnieConfig, ErnieMConfig check_docstrings

* Run fix_and_overwrite for ErnieConfig, ErnieMConfig

* Replace <fill_type> and <fill_docstring> in configuration_ernie, configuration_ernie_m.py with type and docstring values

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Co-authored-by: vignesh-raghunathan <vignesh_raghunathan@intuit.com>