GitLab

* Add tasks_explained.md to es/

* Fix little typo in en/ version

* translate speach/audio section

* translate part of vision computer section | fix little typo in en/

* Fix little typo in en/

* Translate vision computer section | remove ** ** to * * in both files

* Translate NLP section | fix link to task/translation in en/

* Updete link in es/tasks_summary.md

* Fix task_summary title link

use torch.bool instead of torch.int64

* add feature extraction mapping

* added prefix

* ruff check

* minor fix

* Update modeling_auto.py

* fix typo

* remove prefix to make variable public/importable

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

* fixes

* addressed comments

* nit

* fix-copies

* remove from tests

* this should fix

* Update tests/models/convnextv2/test_modeling_convnextv2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

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

* add conftest

* fix

* remove deselected

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

Cache `is_vision_available`

This check is used quite often during process in image models and can take up a serious amount of time compared to the other processing steps.

* Use torch 2.2 for daily CI (model tests)

* update

* update

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

* stash commit

* stash commit

* It works!

* Remove unnecessary change

* We don't actually need the cache_dir!

* Update docstring

* Add test

* Add test with custom cache dir too

* Update model repo path

* update model doc qwen2

* Update docs/source/en/model_doc/qwen2.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* Fix issue 29206

* Fix style

* Fix missing translation in README_ru

* Update README_ru.md
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

---------
Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* fix(mlflow): check mlflow version to use the  flag

* fix indent

* add log_params async and fix quality

* fix torch.export.export for llama

* do not change doc title

* make fix copies

* Improve docs

* Improve chat template

* fix modelling code

* add tests

* fix tests

* add some logit tests

* style

* fix fix

* training version check

* warn old aqlm

* aqlm 1.0.2 real

* docs

fix bad rebase

* inital commit

* update

* update conversion checkpoint

* update conversion script

* nits

* some fixes

* nits

* merge

* fix permute

* nits

* fix

* nits

* nits

* nits

* fix rope

* fix both rope

* nites

* style

* make sure flax works

* fix flax init code

* fix foward

* nits

* print flax generation out

* current code

* nits

* SIIIIIIIIIIIIIIIIIII

* update

* add new tokenizer

* correct fast tokenizer

* fix conversion

* more comments

* fix modeling and conversion

* nits and nits

* nits testing

* add some tokenization tests

* add some edge cases

* add slow tests and fix them

* fixup

* fix copies for modeling

* fix copies

* add 7B slow tests

* fix

* fix

* fix tests

* make tokenizer cis go green

* styling

* last tokenizer nits

* update jax tests

* fix flax for 7b

* add jit testing 🤗

* cleanups

* isolated nit, inv...

Safe getattr

* support SDPA Attention in stablelm

* add integration test

* add fallback for output_attentions

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

* Update tests/models/stablelm/test_modeling_stablelm.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* handle non-contiguous states

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* fix compatibility

* working version

* cleanup

* sanity checks

* more sanity

* working version WITH refactor

* working without API change

* cleanup & tests pass

* more cleaning

* fix test

* fix tests

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

* smaller comment

* update comment

* update comment

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

* Add pool option

* PR comments - error message and exact outputs check

Fix drop path not being used

added image_captioning version in es and included in toctree file

* draft processor arg capture

* add missing vivit model

* add new common test for image preprocess signature

* fix quality

* fix up

* add back missing validations

* quality

* move info level to warning for unused kwargs

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

* add support for siglip and chinese-clip model training with contrastive-image-text example

* codebase fixups

* Revert "Add tie_weights() to LM heads and set bias in set_output_embeddings() (#28948)"

This reverts commit 725f4ad1.

* Revert "Patch to skip failing `test_save_load_low_cpu_mem_usage` tests (#29043)"

This reverts commit 4156f517.

* add add_dummy_prefix_space option to slow

* checking kwargs might be better. Should be there for all spm tokenizer IMO

* nits

* fix copies

* more copied

* nits

* add prefix space

* nit

* nits

* Update src/transformers/convert_slow_tokenizer.py

* fix inti

* revert wrong styling

* fix

* nits

* style

* updates

* make sure we use slow tokenizer for conversion instead of looking for the decoder

* support llama ast well

* update llama tokenizer fast

* nits

* nits nits nits

* update the doc

* update

* update to fix tests

* skip unrelated tailing test

* Update src/transformers/convert_slow_tokenizer.py

* add proper testing

* test decode as well

* more testing

* format

* fix llama test

* Apply suggestions from code review

* handle peft + compiled models

* add tests

* fixup

* adapt from suggestions

* clarify comment

* only compile when needed

* fix mra as well

* fix yoso as well

* update

* rempve comment

* Update src/transformers/models/deformable_detr/modeling_deformable_detr.py

* Update src/transformers/models/deformable_detr/modeling_deformable_detr.py

* opps

* Update src/transformers/models/deta/modeling_deta.py

* nit

* forgot to push the changes for 4bit ..

* trigger CI