GitLab

* fixes

* fix-copies

* token healing impl + trie with extensions

* make fixup

* prefix-robust space tokenization

* examples readme and requirements

* make fixup

* allow input prompt and model

* redundant defaults

* Specialized Trie

* make fixup

* updated tests with new inherited Tree

* input ids to auto device_map

* rm unused import

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

* naming convention

* Revert "naming convention"

This reverts commit dd39d9c5b7a969e2d8a8d2a8e54f121b82dc44f0.

* naming convention

* last -hopefully- changes

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

* Remove copied froms for deprecated models

* Remove automatically in script

Corrected a typo in security.md. Changed `use_safetenstors` to `use_safetensors` in the section discussing the usage of safe formats for loading models to prevent arbitrary code execution.

* current working example!

* commit regex and result file

* update

* nit

* push the conversion file

* oups

* roadmap and nits

* attempt diffs for 3 files

* persimmon

* nit

* add diff file that is the same as the modeling_llama.py

* fix rope nits

* updates

* updates with converted versions

* give some breathing space to the code

* delete

* update

* update

* push the actual result

* update regex patterns

* update regex patterns

* fix some issues

* fix some issues

* fix some issues

* updates

* updates

* updates

* updates

* updates

* revert changes done to llama

* updates

* update gemma

* updates

* oups

* current state

* current state

* update

* ouiiii

* nit

* clear diffs

* nit

* fixup

* update

* doc 🚀

* 🔥

* for now use gemma

* deal with comments

* style

* handle funtions

* deal with assigns

* todos

* process inheritage

* keep decorators?

* 🤗

* deal with duplicates

* fixup

* correctly remove duplicate code

* run ruff post script

* ruff deals pretty well with imports, let's leave it to him

* ah maybe not lol

* for now remove all imports from child.

* nit

* conversion of llama

* okay

* convert starcoder2

* synch with main

* update llama diff

* updates

* https://docs.astral.sh/ruff/rules/redefined-while-unused/

 fixes the imports, bit needs later version of ruff

* updates

* okay actual state

* non zero exit

* update!

* revert unrelated

* remove other diff files

* updates

* cleanup

* update

* less diff!

* stash

* current updates

* updates

* No need for call

* finished fining deps

* update

* current changes

* current state

* current state

* new status

* nit

* finally

* fixes

* nits

* order is now expected

* use logger info instead of prints

* fixup

* up

* nit

* update

* nits

* update

* correct merge

* update

* update

* update

* add warning

* update caution message

* update

* better merging strategy

* copy class statements :wink

* fixups

* nits

* update

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

* smaller header

* do cleanup some stuff

* even simpler header?

* fixup

* updates

* ruff

* update examples

* nit

* TODO

* state

* OUUUUUUF

* current state

* nits

* final state

* add a readme

* fixup

* remove diff llama

* fix

* nit

* dummy noy funny

* ruff format tests src utils --check

* everless diffs

* less diffs and fix test

* fixes

* naming nit?

* update converter and add supper example

* nits

* updated for function signatures

* update

* update

* add converted dummies

* autoformat

* single target assign fix

* fixup

* fix some imports

* fixes

* don't push them

* `# noqa: F841`

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

* Description of quantization_config

Added missing description about quantization_config in replace_with_bnb_linear for better readability.

* Removed trailing spaces

* Initial setup

* Metrics

* Overfit on two batches

* Train 40 epochs

* Memory leak debugging

* Trainer fine-tuning

* Draft

* Fixup

* Trained end-to-end

* Add requirements

* Rewrite evaluator

* nits

* Add readme

* Add instance-segmentation to the table

* Support void masks

* Remove sh

* Update docs

* Add pytorch test

* Add accelerate test

* Update examples/pytorch/instance-segmentation/README.md

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py

* Fix consistency oneformer

* Fix imports

* Fix imports sort

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>

* Add resources to docs

* Update examples/pytorch/instance-segmentation/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/pytorch/instance-segmentation/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Remove explicit model_type argument

* Fix tests

* Update readme

* Note about other models

---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Implement streaming run in ReAct agents
* Allow additional imports in code agents
* Python interpreter: support classes and exceptions, fixes

* add sanity evaluation

* fix

* Apply suggestions from code review
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* fix

---------
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

enhance error message

`mask` variable is not defined. probably a writing mistake. it should be `segmentation_map`. `segmentation_map` should be a `1` channel image rather than `RGB`.
[on a different note, the `mask_url` is the same as `raw_image`. could provide a better example.

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

* helper

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates

* more doc

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

remove `IS_GITHUB_CI`

Replace all occurences of `load_in_8bit` with bnb config

fix get_scheduler args

add validation for bnb config

* remove

* build

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

* Modified test

* Added on_optimizer_step to callbacks

* Move callback after step is called

* Added on optimizer step callback

* add Raushan

* add Raushan

Update overview.md

* fix

* fix

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

* Fix env.py in cases where torch is not present

* Simplify the fix (and avoid some issues)

* Improve `transformers-cli env` reporting

* move the line `"Using GPU in script?": "<fill in>"` to in if conditional
statement

* same option for npu

* Fix has_file in offline mode

* harmonize env variable for offline mode

* Switch to HF_HUB_OFFLINE

* fix test

* revert test_offline to test TRANSFORMERS_OFFLINE

* Add new offline test

* merge conflicts

* docs

* add mistral v3 conversion script

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

* fixup

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

* quanto latest version was refactored

* add error msg

* incorrect compare sign

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

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

* Deprecate models
- graphormer
- time_series_transformer
- xlm_prophetnet
- qdqbert
- nat
- ernie_m
- tvlt
- nezha
- mega
- jukebox
- vit_hybrid
- x_clip
- deta
- speech_to_text_2
- efficientformer
- realm
- gptsan_japanese

* Fix up

* Fix speech2text2 imports

* Make sure message isn't indented

* Fix docstrings

* Correctly map for deprecated models from model_type

* Uncomment out

* Add back time series transformer and x-clip

* Import fix and fix-up

* Fix up with updated ruff

Update _redirects.yml

* fix flan t5 tests

* better format

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

Update modeling_opt.py

add accelerate

* Render chat template tojson filter as unicode

* ruff--

* add peft references

* add peft references

* Update docs/source/en/peft.md

* Update docs/source/en/peft.md