GitLab

* 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

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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

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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

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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

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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

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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>

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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

* fix tests

* style

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

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

* Fix failing tokenizer tests

* Use small tokenizer

* Fix remaining reference

* Update docs

* Add PaliGemma resources

* Address comment

* Update docs

* Add test for multiple images

* [run slow] owlv2

* Fix box rescaling

* [run slow] owlv2

Remove float64