GitLab

* implemented safetensors save/load

* remove duplicated file

* added tests

* more tests

* style fix

* fix tf tests

* change to list comprehension
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* review fixes + safe load for sharded checkpoint

* style fix

* remove rogue import

* remove partial to avoid undefined exception

* use naming alias instead of safetensors.torch

* fix safe sharding in tests

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

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

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

* minor corrections

* style

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

* fix the prefix tokens

* update fast and test values

* add legacy behaviour
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* update disclaimer, linkissue PR and behaviral changes

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* styling

* make a quote

* quote this time

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Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

[Roformer] Fixing a bug in RoFormerEncoder where it was ignoring the length of past_key_values when generating as a decoder (#22416)

* fix RoFormerEncoder postion embedding when generate as decoder

* make fixup

* add test case for check generate with past key values

* remove duplicating code

* Fix OPTForQuestionAnswering doc string

for more adequate model answer decoding

* black style fix

* doc-builder style

* [setup] migrate setup script to `pyproject.toml`

* [setup] cleanup configurations

* remove unused imports

* [setup] drop deprecated `distutils` usage

* drop deprecated `distutils.util.strtobool` usage

* fix import order

* reformat docstring by `doc-builder`

* enable PP for T5

* make fixup

* fix failing tests

[`Trainer`] Force `is_model_parallel` when model is loaded in multiple GPUs using `accelerate` (#22532)

* add `is_model_parallel` arg on Trainer

* add warning

* adapt from suggestions

* revert t5 changes

* remove commas

* adapt from suggestions

LayoutLMv3TokenizerFast produces empty 'Ġ' token with `offset_mapping = (0, 0)`.
Next token is wrongly assumed to also be beginning of word and isn't
correctly assigned `pad_token_label`.
Modify test with text that produce 'Ġ' token.
Remove copy check from LayoutLMv2TokenizerFast for `_batch_encode_plus`.

solves issue: #19978

`load_checkpoint()` silently fails because `".qkj_proj." in key` is always `False`, but will eventually cause an error at `model.load_state_dict(state_dict)`.

* haha text go brrr (but in gradio)

* added biogpt token classifier

* fix reviews

* Updated modeling_biogpt.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

docs: ko: sagemaker.mdx

* draft

* update tokenization limma and conversion script

* more udpates

* initial commit

* style

* default pad to None

* draft tokenization tests

* update test

* update tokenization tests

* nits

* update

* versioning test

* major fix

* fix more testst

* finish fixing special masks

* last nit

* more nits

* add encode decode tests

* add more

* fix token type ids

* style

added > 0.5 to `past_observed_mask`

* Add out_indices to backbones, deprecate out_features

* Update - can specify both out_features and out_indices but not both

* Can specify both

* Fix copies

* Add out_indices to convnextv2 configuration

* Test fetcher v2

* Fix regexes

* Remove sanity check

* Fake modification to OPT

* Fixes some .sep issues

* Remove fake OPT change

* Fake modif for BERT

* Fake modif for init

* Exclude SageMaker tests

* Fix test and remove fake modif

* Fake setup modif

* Fake pipeline modif

* Remove all fake modifs

* Adds options to skip/force tests

* [test-all-models] Fake modif for BERT

* Try this way

* Does the command actually work?

* [test-all-models] Try again!

* [skip circleci] Remove fake modif

* Remove debug statements

* Add the list of important models

* Quality

* Update utils/tests_fetcher.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Address review comments

* Fix and add test

* Apply suggestions from code review
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Address review comments

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Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* update NeptuneCallback docstring

* formatting

* apply make style

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Co-authored-by: Aleksander Wojnarowicz <alwojnarowicz@gmail.com>

Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.5.3 to 4.5.4.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.5.3...v4.5.4

)

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

* Making sure we can use safetensors to serialize all the time.

* Expanding the tests for increased coverage.

* Update the test.

* Getting current state of affairs.

* Tentative fix.

* Fixing black version.

* Fixing the worst offenders.

* Try to modify less files.

* Fixing blip_2 (Weird solution right now).

* Fixing deta.

* Fix blip ?

* Missing extra newline.

* No deta modification.

* Adding some comments.

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

* Addressing comments.

* Addressing comments.

* creating warn_once.

* Warning_once !

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

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

* Relax  checks from  to warning

* Fix style

* Replace warnings with logger

* Use warning vs warn

* Enable Nightly + Past CI

* put schedule

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

Docs fix: Multinomial sampling decoding needs "num_beams=1", since by default it is usually not 1. (#22473)

Fix: Multinomial sampling needs "num_beams=1", since by default is 5.

* Llama now supports max_position_embeddings

* Save config; Cosmetic edits

edit default model type and testing path set to hf-internal-testing

Guard imports that use the tokenizers library

Fix ordering of height,width for BLIP

* haha tokens go brrrr

Skip flaky test for now

* Rescale image back if it was scaled during PIL conversion

* do_rescale is defined if PIL image passed in

* Move common properties to BackboneMixin

* Fix failing tests

* Update ConvNextV2 backbone