* Enabled gradient checkpointing in Deformable DETR

* Enabled gradient checkpointing in Deformable DETR encoder

* Removed # Copied from headers in modeling_deta.py to break dependence on Deformable DETR code

* 🐛

 fix .max bug

* remove prediction_length from regression output dimensions

* fix parameter names, fix output names, update tests

* ensure shape for PatchTST

* ensure output shape for PatchTSMixer

* update model, batch, and expected for regression distribution test

* update test expected

Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

* Update tests/models/patchtst/test_modeling_patchtst.py

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

* Update tests/models/patchtst/test_modeling_patchtst.py

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

* Update tests/models/patchtst/test_modeling_patchtst.py

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

* Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py

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

* Update tests/models/patchtsmixer/test_modeling_patchtsmixer.py

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

* Update tests/models/patchtsmixer/test_modeling_patchtsmixer.py

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

* standardize on patch_length

Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

* Update tests/models/patchtsmixer/test_modeling_patchtsmixer.py

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

* Update tests/models/patchtsmixer/test_modeling_patchtsmixer.py

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

* Make arguments more explicit

Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

* adjust prepared inputs

Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

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Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>
Co-authored-by: Wesley M. Gifford <wmgifford@us.ibm.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [Docs] Fix Typo in English CLIP model_doc

* [Docs] Fix Typo in Japanese CLIP model_doc

* fix

* fix

* Fix

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

* Add serialized type name to pytrees

* Modify context

* add serde test

[Siglip] protect from imports if sentencepiece not installed

* change datasets

* fix

* try pydantic v2

* try pydantic v2

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

* fix: suppress `GatedRepoError` to use cache file (fix #28558).

* move condition_to_return parameter back to outside.

* Stop confusing the TF compiler with ModelOutput objects

* Stop confusing the TF compiler with ModelOutput objects

fix

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

Initialize _tqdm_active with hf_hub_utils.are_progress_bars_disabled() to respect HF_HUB_DISABLE_PROGRESS_BARS

It seems like enable_progress_bar() and disable_progress_bar() sync up with huggingface_hub, but the initial value is always True. This changes will make sure the user's preference is respected implicity on initialization.

* Update preprocessing.md

adjust ImageProcessor link to working target (same as in lower section of file)

* Update preprocessing.md

* support PeftMixedModel signature inspect

* import PeftMixedModel only peft>=0.7.0

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* fix styling

* Update src/transformers/trainer.py

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

* Update src/transformers/trainer.py

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

* style fixup

* fix note

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

* fix duplicate & unnecessary flash warnings

* trigger ci

* warning_once

* if/else order

---------

Co-authored-by: Your Name <you@example.com>

* fix

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

The documentation says "We refer to this Model parallelism as “Vertical” because of how models are typically visualized.", but then visualizes the model horizontally. This change visualizes the model indeed vertically.

align dtype

fix typo:

from:

 "model = TFAutoModelForQuestionAnswering("distilbert-base-uncased")"

to:
model = TFAutoModelForQuestionAnswering.from_pretrained("distilbert-base-uncased")

Update backbones.md

Add missing space in warning

* First draft

* More improvements

* More improvements

* More improvements

* More improvements

* Add docs

* Remove file

* Add copied from

* Address comments

* Address comments

* Address comments

* Fix style

* Update docs

* Convert all checkpoints, add integration test

* Rename checkpoints

* Add pretrained backbone attributes

* Fix default config

* Address comment

* Add figure to docs

* Fix bug thanks to @xenova

* Update conversion script

* Fix integration test

* fix hfoptions

* revert changes to other files

* fix

* update doc

* revert

* typo fix

* refine

* add dtypes

* Update docs/source/en/perf_train_cpu.md

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

* Update docs/source/en/perf_train_cpu.md

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

* Update docs/source/en/perf_train_cpu.md

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

* no comma

* use avx512-vnni

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

* Changed type hinting for all attention inputs to 'Optional[Tuple[torch.FloatTensor,...]] = None'

* Fixed the ruff formatting issue

* fixed type hinting for all hidden_states to 'Optional[Tuple[torch.FloatTensor, ...]] = None'

* Changed type hinting in these 12 scripts modeling_dpr.py,modeling_nat.py,idefics/vision.py,modeling_tf_dpr.py,modeling_luke.py,modeling_swin.py,modeling_tf_swin.py,modeling_blip.py,modeling_tf_blip.py,modeling_donut_swin.py,modeling_dinat.py,modeling_swinv2.py

* test fail update

* fixed type hinting for these 15 scripts modeling_xlnet.py,modeling_tf_xlnet.py,modeling_led.py,modeling_tf_led.py,modleing_rwkv.py,modeling_dpt.py,modeling_tf_cvt.py,modeling_clip.py,modeling_flax_clip.py,modeling_tf_clip.py,modeling_longformer.py,modeling_tf_longformer.py,modeling_siglip.py,modeling_clap.py,modeling_git.py

* Changed type hinting in these 12 scripts modeling_dpr.py,modeling_nat.py,idefics/vision.py,modeling_tf_dpr.py,modeling_luke.py,modeling_swin.py,modeling_tf_swin.py,modeling_blip.py,modeling_tf_blip.py,modeling_donut_swin.py,modeling_dinat.py,modeling_swinv2.py

* test fail update

* Removed the myvenv file

* Fixed type hinting for these 8 scripts modeling_tvlt.py,modeling_sam.py,modeling_tf_sam.py,modeling_tvp.py,modeling_rag.py,modeling_tf_rag.py,modeling_tf_xlm.py,modeling_xlm.py

* config

* optim

* pre deploy

* deploy

* save weights, memory, troubleshoot, non-Trainer

* done

* Use save_safetensor to disable safe serialization for XLA

https://github.com/huggingface/transformers/issues/28438

* Style fixup