GitLab

The former spelling is deprecated and has been discouraged for a
while. The latter spelling seems to be more common in this project
anyway, so this change ought to be safe.

Fixes https://github.com/huggingface/transformers/issues/25283

`groupe` -> `grouped`

* [JAX] Bump min version

* make fixup

* Add timeout parameter to load_image function.

* Remove line.

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

* Add parameter to docs.

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

* add generate method to SpeechT5ForTextToSpeech

* update speecht5forTTS docstrings

* Remove defaults to None in generate docstrings
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>

* add mention to optimization in Bark docs

* add offload mention in docs

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update bark docs.

* Update bark.md

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

Separate generate doc section

* Update InstructBLIP values
Note: the tests are not independent. Running the test independentely produces different logits compared to running all the integration tests

* Update test values after rescale update

* Remove left over commented out code

* Revert to previous rescaling logic

* Update rescale tests

* Update list of logging integrations in docstring

Also update type hint

* Also add 'flyte' to report_to callback list

* Revert 'report_to' type hint update

Due to CLI breaking

n8
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* CI with layers=2

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

* [MMS] Fix mms

* [MMS] Fix mms

* fix mms loading

* Apply suggestions from code review

* make style

* Update tests/models/wav2vec2/test_modeling_wav2vec2.py

* doc: ko: perf_infer_gpu_many.mdx

* feat: chatgpt draft

* fix: manual edits

* Update docs/source/ko/perf_infer_gpu_many.md
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

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Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

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

Fix bug in InstructBlip generate function

Previously, the postprocessing conducted on generated sequences in InstructBlip's generate function assumed these sequences were tensors (i.e. that `return_dict_in_generate == False`).

This commit checks whether the result of the call to the wrapped language model `generate()` is a tensor, and if not attempts to postprocess the sequence attribute of the returned results object.

* added example and modified docs for EtaLogitsWarper

* make style

* fixed styling issue on 544

* removed error info and added set_seed

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

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

* updated the results

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

* Update modeling_deformable_detr.py

Fix bugs for two stage training

* Update modeling_deformable_detr.py

* Add test_two_stage_training to DeformableDetrModelTest

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Co-authored-by: yupeng.jia <yupeng.jia@momenta.ai>

Rescale tests - cast to float after rescaling to reflect #25229

* resolving zero3 init when using accelerate config with Trainer

* refactor

* fix

* fix import

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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

* add pathname and lineno to logging formatter in debug mode

* use TRANSFORMERS_VERBOSITY="detail" to print pathname and lineno

* add test for `get_keys_to_not_convert`

* add minimum patch to keep mpt lm_head from 8bit quantization

* add reivsion to

Move dtype recasting to match torchvision ToTensor

* fix detr weird issue

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

* fix copies

* fix copies

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

* add  `require_bitsandbytes` on MPT integration tests

* add it on mpt as well

[`Docs`/`quantization`] Clearer explanation on how things works under the hood. + remove outdated info (#25216)

* clearer explanation on how things works under the hood.

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

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

* add `load_in_4bit` in `from_pretrained`

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix pix2struct cross attention

* fix torchscript slow test

make build_mpt_alibi_tensor a method of MptModel so that deepspeed could override it to make autoTP work
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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

* update tiny_model_summary.json

* update

* update

* update

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

* revisit device check for pipeline

* let's raise an error.

Update quantization.md

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

wrap `cuda` and `to` method correctly

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