transformers/docs/source/en/index.md
NielsRogge 8490d3159c
Add ViTPose (#30530)
* First draft

* Make fixup

* Make forward pass worké

* Improve code

* More improvements

* More improvements

* Make predictions match

* More improvements

* Improve image processor

* Fix model tests

* Add classic decoder

* Convert classic decoder

* Verify image processor

* Fix classic decoder logits

* Clean up

* Add post_process_pose_estimation

* Improve post_process_pose_estimation

* Use AutoBackbone

* Add support for MoE models

* Fix tests, improve num_experts%

* Improve variable names

* Make fixup

* More improvements

* Improve post_process_pose_estimation

* Compute centers and scales

* Improve postprocessing

* More improvements

* Fix ViTPoseBackbone tests

* Add docstrings, fix image processor tests

* Update index

* Use is_cv2_available

* Add model to toctree

* Add cv2 to doc tests

* Remove script

* Improve conversion script

* Add coco_to_pascal_voc

* Add box_to_center_and_scale to image_transforms

* Update tests

* Add integration test

* Fix merge

* Address comments

* Replace numpy by pytorch, improve docstrings

* Remove get_input_embeddings

* Address comments

* Move coco_to_pascal_voc

* Address comment

* Fix style

* Address comments

* Fix test

* Address comment

* Remove udp

* Remove comment

* [WIP] need to check if the numpy function is same as cv

* add scipy affine_transform

* Update src/transformers/models/vitpose/image_processing_vitpose.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* refactor convert

* add output_shape

* add atol 5e-2

* Use hf_hub_download in conversion script

* make box_to_center more applicable

* skipt test_get_set_embedding

* fix to accept array and fix CI

* add co-contributor

* make it to tensor type output

* add torch

* change to torch tensor

* add more test

* minor change

* CI test change

* import torch should be above ImageProcessor

* make style

* try not use torch in def

* Update src/transformers/models/vitpose/image_processing_vitpose.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vitpose_backbone/configuration_vitpose_backbone.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vitpose_backbone/modeling_vitpose_backbone.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vitpose/modeling_vitpose.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix

* fix

* add caution

* make more detail about dataset_index

* Update src/transformers/models/vitpose/modeling_vitpose.py

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

* Update src/transformers/models/vitpose/image_processing_vitpose.py

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

* add docs

* Update docs/source/en/model_doc/vitpose.md

* Update src/transformers/models/vitpose/configuration_vitpose.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Revert "Update src/transformers/__init__.py"

This reverts commit 7ffa504450.

* change name

* Update src/transformers/models/vitpose/image_processing_vitpose.py

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

* Update tests/models/vitpose/test_modeling_vitpose.py

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

* Update docs/source/en/model_doc/vitpose.md

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

* Update src/transformers/models/vitpose/modeling_vitpose.py

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

* Update src/transformers/models/vitpose_backbone/modeling_vitpose_backbone.py

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

* Update src/transformers/models/vitpose/image_processing_vitpose.py

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

* move vitpose only function to image_processor

* raise valueerror when using timm backbone

* use out_indices

* Update src/transformers/models/vitpose/image_processing_vitpose.py

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

* remove camel-case of def flip_back

* rename vitposeEstimatorOutput

* Update src/transformers/models/vitpose_backbone/modeling_vitpose_backbone.py

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

* fix confused camelcase of MLP

* remove in-place logic

* clear scale description

* make consistent batch format

* docs update

* formatting docstring

* add batch tests

* test docs change

* Update src/transformers/models/vitpose/image_processing_vitpose.py

* Update src/transformers/models/vitpose/configuration_vitpose.py

* chagne ViT to Vit

* change to enable MoE

* make fix-copies

* Update docs/source/en/model_doc/vitpose.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* extract udp

* add more described docs

* simple fix

* change to accept target_size

* make style

* Update src/transformers/models/vitpose/image_processing_vitpose.py

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

* Update src/transformers/models/vitpose/configuration_vitpose.py

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

* change to `verify_backbone_config_arguments`

* Update docs/source/en/model_doc/vitpose.md

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

* remove unnecessary copy

* make config immutable

* enable gradient checkpointing

* update inappropriate docstring

* linting docs

* split function for visibility

* make style

* check isinstances

* change to acceptable use_pretrained_backbone

* make style

* remove copy in docs

* Update src/transformers/models/vitpose_backbone/modeling_vitpose_backbone.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Update docs/source/en/model_doc/vitpose.md

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Update src/transformers/models/vitpose/modeling_vitpose.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* simple fix + make style

* change input config of activation function to string

* Update docs/source/en/model_doc/vitpose.md

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* tmp docs

* delete index.md

* make fix-copies

* simple fix

* change conversion to sam2/mllama style

* Update src/transformers/models/vitpose/image_processing_vitpose.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Update src/transformers/models/vitpose/image_processing_vitpose.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* refactor convert

* add supervision

* Update src/transformers/models/vitpose_backbone/modeling_vitpose_backbone.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* remove reduntant def

* seperate code block for visualization

* add validation for num_moe

* final commit

* add labels

* [run-slow] vitpose, vitpose_backbone

* Update src/transformers/models/vitpose/convert_vitpose_to_hf.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* enable all conversion

* final commit

* [run-slow] vitpose, vitpose_backbone

* ruff check --fix

* [run-slow] vitpose, vitpose_backbone

* rename split module

* [run-slow] vitpose, vitpose_backbone

* fix pos_embed

* Simplify init

* Revert "fix pos_embed"

This reverts commit 2c56a4806e.

* refactor single loop

* allow flag to enable custom model

* efficiency of MoE to not use unused experts

* make style

* Fix range -> arange to avoid warning

* Revert MOE router, a new one does not work

* Fix postprocessing a bit (labels)

* Fix type hint

* Fix docs snippets

* Fix links to checkpoints

* Fix checkpoints in tests

* Fix test

* Add image to docs

---------

Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: sangbumchoi <danielsejong55@gmail.com>
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
2025-01-08 16:02:14 +00:00

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Markdown

<!--Copyright 2020 The HuggingFace Team. All rights reserved.
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# 🤗 Transformers
State-of-the-art Machine Learning for [PyTorch](https://pytorch.org/), [TensorFlow](https://www.tensorflow.org/), and [JAX](https://jax.readthedocs.io/en/latest/).
🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. These models support common tasks in different modalities, such as:
📝 **Natural Language Processing**: text classification, named entity recognition, question answering, language modeling, code generation, summarization, translation, multiple choice, and text generation.<br>
🖼️ **Computer Vision**: image classification, object detection, and segmentation.<br>
🗣️ **Audio**: automatic speech recognition and audio classification.<br>
🐙 **Multimodal**: table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.
🤗 Transformers support framework interoperability between PyTorch, TensorFlow, and JAX. This provides the flexibility to use a different framework at each stage of a model's life; train a model in three lines of code in one framework, and load it for inference in another. Models can also be exported to a format like ONNX and TorchScript for deployment in production environments.
Join the growing community on the [Hub](https://huggingface.co/models), [forum](https://discuss.huggingface.co/), or [Discord](https://discord.com/invite/JfAtkvEtRb) today!
## If you are looking for custom support from the Hugging Face team
<a target="_blank" href="https://huggingface.co/support">
<img alt="HuggingFace Expert Acceleration Program" src="https://cdn-media.huggingface.co/marketing/transformers/new-support-improved.png" style="width: 100%; max-width: 600px; border: 1px solid #eee; border-radius: 4px; box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);">
</a>
## Contents
The documentation is organized into five sections:
- **GET STARTED** provides a quick tour of the library and installation instructions to get up and running.
- **TUTORIALS** are a great place to start if you're a beginner. This section will help you gain the basic skills you need to start using the library.
- **HOW-TO GUIDES** show you how to achieve a specific goal, like finetuning a pretrained model for language modeling or how to write and share a custom model.
- **CONCEPTUAL GUIDES** offers more discussion and explanation of the underlying concepts and ideas behind models, tasks, and the design philosophy of 🤗 Transformers.
- **API** describes all classes and functions:
- **MAIN CLASSES** details the most important classes like configuration, model, tokenizer, and pipeline.
- **MODELS** details the classes and functions related to each model implemented in the library.
- **INTERNAL HELPERS** details utility classes and functions used internally.
## Supported models and frameworks
The table below represents the current support in the library for each of those models, whether they have a Python
tokenizer (called "slow"). A "fast" tokenizer backed by the 🤗 Tokenizers library, whether they have support in Jax (via
Flax), PyTorch, and/or TensorFlow.
<!--This table is updated automatically from the auto modules with _make fix-copies_. Do not update manually!-->
| Model | PyTorch support | TensorFlow support | Flax Support |
|:------------------------------------------------------------------------:|:---------------:|:------------------:|:------------:|
| [ALBERT](model_doc/albert) | ✅ | ✅ | ✅ |
| [ALIGN](model_doc/align) | ✅ | ❌ | ❌ |
| [AltCLIP](model_doc/altclip) | ✅ | ❌ | ❌ |
| [Aria](model_doc/aria) | ✅ | ❌ | ❌ |
| [AriaText](model_doc/aria_text) | ✅ | ❌ | ❌ |
| [Audio Spectrogram Transformer](model_doc/audio-spectrogram-transformer) | ✅ | ❌ | ❌ |
| [Autoformer](model_doc/autoformer) | ✅ | ❌ | ❌ |
| [Bamba](model_doc/bamba) | ✅ | ❌ | ❌ |
| [Bark](model_doc/bark) | ✅ | ❌ | ❌ |
| [BART](model_doc/bart) | ✅ | ✅ | ✅ |
| [BARThez](model_doc/barthez) | ✅ | ✅ | ✅ |
| [BARTpho](model_doc/bartpho) | ✅ | ✅ | ✅ |
| [BEiT](model_doc/beit) | ✅ | ❌ | ✅ |
| [BERT](model_doc/bert) | ✅ | ✅ | ✅ |
| [Bert Generation](model_doc/bert-generation) | ✅ | ❌ | ❌ |
| [BertJapanese](model_doc/bert-japanese) | ✅ | ✅ | ✅ |
| [BERTweet](model_doc/bertweet) | ✅ | ✅ | ✅ |
| [BigBird](model_doc/big_bird) | ✅ | ❌ | ✅ |
| [BigBird-Pegasus](model_doc/bigbird_pegasus) | ✅ | ❌ | ❌ |
| [BioGpt](model_doc/biogpt) | ✅ | ❌ | ❌ |
| [BiT](model_doc/bit) | ✅ | ❌ | ❌ |
| [Blenderbot](model_doc/blenderbot) | ✅ | ✅ | ✅ |
| [BlenderbotSmall](model_doc/blenderbot-small) | ✅ | ✅ | ✅ |
| [BLIP](model_doc/blip) | ✅ | ✅ | ❌ |
| [BLIP-2](model_doc/blip-2) | ✅ | ❌ | ❌ |
| [BLOOM](model_doc/bloom) | ✅ | ❌ | ✅ |
| [BORT](model_doc/bort) | ✅ | ✅ | ✅ |
| [BridgeTower](model_doc/bridgetower) | ✅ | ❌ | ❌ |
| [BROS](model_doc/bros) | ✅ | ❌ | ❌ |
| [ByT5](model_doc/byt5) | ✅ | ✅ | ✅ |
| [CamemBERT](model_doc/camembert) | ✅ | ✅ | ❌ |
| [CANINE](model_doc/canine) | ✅ | ❌ | ❌ |
| [Chameleon](model_doc/chameleon) | ✅ | ❌ | ❌ |
| [Chinese-CLIP](model_doc/chinese_clip) | ✅ | ❌ | ❌ |
| [CLAP](model_doc/clap) | ✅ | ❌ | ❌ |
| [CLIP](model_doc/clip) | ✅ | ✅ | ✅ |
| [CLIPSeg](model_doc/clipseg) | ✅ | ❌ | ❌ |
| [CLVP](model_doc/clvp) | ✅ | ❌ | ❌ |
| [CodeGen](model_doc/codegen) | ✅ | ❌ | ❌ |
| [CodeLlama](model_doc/code_llama) | ✅ | ❌ | ✅ |
| [Cohere](model_doc/cohere) | ✅ | ❌ | ❌ |
| [Cohere2](model_doc/cohere2) | ✅ | ❌ | ❌ |
| [ColPali](model_doc/colpali) | ✅ | ❌ | ❌ |
| [Conditional DETR](model_doc/conditional_detr) | ✅ | ❌ | ❌ |
| [ConvBERT](model_doc/convbert) | ✅ | ✅ | ❌ |
| [ConvNeXT](model_doc/convnext) | ✅ | ✅ | ❌ |
| [ConvNeXTV2](model_doc/convnextv2) | ✅ | ✅ | ❌ |
| [CPM](model_doc/cpm) | ✅ | ✅ | ✅ |
| [CPM-Ant](model_doc/cpmant) | ✅ | ❌ | ❌ |
| [CTRL](model_doc/ctrl) | ✅ | ✅ | ❌ |
| [CvT](model_doc/cvt) | ✅ | ✅ | ❌ |
| [DAC](model_doc/dac) | ✅ | ❌ | ❌ |
| [Data2VecAudio](model_doc/data2vec) | ✅ | ❌ | ❌ |
| [Data2VecText](model_doc/data2vec) | ✅ | ❌ | ❌ |
| [Data2VecVision](model_doc/data2vec) | ✅ | ✅ | ❌ |
| [DBRX](model_doc/dbrx) | ✅ | ❌ | ❌ |
| [DeBERTa](model_doc/deberta) | ✅ | ✅ | ❌ |
| [DeBERTa-v2](model_doc/deberta-v2) | ✅ | ✅ | ❌ |
| [Decision Transformer](model_doc/decision_transformer) | ✅ | ❌ | ❌ |
| [Deformable DETR](model_doc/deformable_detr) | ✅ | ❌ | ❌ |
| [DeiT](model_doc/deit) | ✅ | ✅ | ❌ |
| [DePlot](model_doc/deplot) | ✅ | ❌ | ❌ |
| [Depth Anything](model_doc/depth_anything) | ✅ | ❌ | ❌ |
| [DETA](model_doc/deta) | ✅ | ❌ | ❌ |
| [DETR](model_doc/detr) | ✅ | ❌ | ❌ |
| [DialoGPT](model_doc/dialogpt) | ✅ | ✅ | ✅ |
| [DiffLlama](model_doc/diffllama) | ✅ | ❌ | ❌ |
| [DiNAT](model_doc/dinat) | ✅ | ❌ | ❌ |
| [DINOv2](model_doc/dinov2) | ✅ | ❌ | ✅ |
| [DINOv2 with Registers](model_doc/dinov2_with_registers) | ✅ | ❌ | ❌ |
| [DistilBERT](model_doc/distilbert) | ✅ | ✅ | ✅ |
| [DiT](model_doc/dit) | ✅ | ❌ | ✅ |
| [DonutSwin](model_doc/donut) | ✅ | ❌ | ❌ |
| [DPR](model_doc/dpr) | ✅ | ✅ | ❌ |
| [DPT](model_doc/dpt) | ✅ | ❌ | ❌ |
| [EfficientFormer](model_doc/efficientformer) | ✅ | ✅ | ❌ |
| [EfficientNet](model_doc/efficientnet) | ✅ | ❌ | ❌ |
| [ELECTRA](model_doc/electra) | ✅ | ✅ | ✅ |
| [EnCodec](model_doc/encodec) | ✅ | ❌ | ❌ |
| [Encoder decoder](model_doc/encoder-decoder) | ✅ | ✅ | ✅ |
| [ERNIE](model_doc/ernie) | ✅ | ❌ | ❌ |
| [ErnieM](model_doc/ernie_m) | ✅ | ❌ | ❌ |
| [ESM](model_doc/esm) | ✅ | ✅ | ❌ |
| [FairSeq Machine-Translation](model_doc/fsmt) | ✅ | ❌ | ❌ |
| [Falcon](model_doc/falcon) | ✅ | ❌ | ❌ |
| [Falcon3](model_doc/falcon3) | ✅ | ❌ | ✅ |
| [FalconMamba](model_doc/falcon_mamba) | ✅ | ❌ | ❌ |
| [FastSpeech2Conformer](model_doc/fastspeech2_conformer) | ✅ | ❌ | ❌ |
| [FLAN-T5](model_doc/flan-t5) | ✅ | ✅ | ✅ |
| [FLAN-UL2](model_doc/flan-ul2) | ✅ | ✅ | ✅ |
| [FlauBERT](model_doc/flaubert) | ✅ | ✅ | ❌ |
| [FLAVA](model_doc/flava) | ✅ | ❌ | ❌ |
| [FNet](model_doc/fnet) | ✅ | ❌ | ❌ |
| [FocalNet](model_doc/focalnet) | ✅ | ❌ | ❌ |
| [Funnel Transformer](model_doc/funnel) | ✅ | ✅ | ❌ |
| [Fuyu](model_doc/fuyu) | ✅ | ❌ | ❌ |
| [Gemma](model_doc/gemma) | ✅ | ❌ | ✅ |
| [Gemma2](model_doc/gemma2) | ✅ | ❌ | ❌ |
| [GIT](model_doc/git) | ✅ | ❌ | ❌ |
| [GLM](model_doc/glm) | ✅ | ❌ | ❌ |
| [GLPN](model_doc/glpn) | ✅ | ❌ | ❌ |
| [GPT Neo](model_doc/gpt_neo) | ✅ | ❌ | ✅ |
| [GPT NeoX](model_doc/gpt_neox) | ✅ | ❌ | ❌ |
| [GPT NeoX Japanese](model_doc/gpt_neox_japanese) | ✅ | ❌ | ❌ |
| [GPT-J](model_doc/gptj) | ✅ | ✅ | ✅ |
| [GPT-Sw3](model_doc/gpt-sw3) | ✅ | ✅ | ✅ |
| [GPTBigCode](model_doc/gpt_bigcode) | ✅ | ❌ | ❌ |
| [GPTSAN-japanese](model_doc/gptsan-japanese) | ✅ | ❌ | ❌ |
| [Granite](model_doc/granite) | ✅ | ❌ | ❌ |
| [GraniteMoeMoe](model_doc/granitemoe) | ✅ | ❌ | ❌ |
| [Graphormer](model_doc/graphormer) | ✅ | ❌ | ❌ |
| [Grounding DINO](model_doc/grounding-dino) | ✅ | ❌ | ❌ |
| [GroupViT](model_doc/groupvit) | ✅ | ✅ | ❌ |
| [HerBERT](model_doc/herbert) | ✅ | ✅ | ✅ |
| [Hiera](model_doc/hiera) | ✅ | ❌ | ❌ |
| [Hubert](model_doc/hubert) | ✅ | ✅ | ❌ |
| [I-BERT](model_doc/ibert) | ✅ | ❌ | ❌ |
| [I-JEPA](model_doc/ijepa) | ✅ | ❌ | ❌ |
| [IDEFICS](model_doc/idefics) | ✅ | ✅ | ❌ |
| [Idefics2](model_doc/idefics2) | ✅ | ❌ | ❌ |
| [Idefics3](model_doc/idefics3) | ✅ | ❌ | ❌ |
| [Idefics3VisionTransformer](model_doc/idefics3_vision) | ❌ | ❌ | ❌ |
| [ImageGPT](model_doc/imagegpt) | ✅ | ❌ | ❌ |
| [Informer](model_doc/informer) | ✅ | ❌ | ❌ |
| [InstructBLIP](model_doc/instructblip) | ✅ | ❌ | ❌ |
| [InstructBlipVideo](model_doc/instructblipvideo) | ✅ | ❌ | ❌ |
| [Jamba](model_doc/jamba) | ✅ | ❌ | ❌ |
| [JetMoe](model_doc/jetmoe) | ✅ | ❌ | ❌ |
| [Jukebox](model_doc/jukebox) | ✅ | ❌ | ❌ |
| [KOSMOS-2](model_doc/kosmos-2) | ✅ | ❌ | ❌ |
| [LayoutLM](model_doc/layoutlm) | ✅ | ✅ | ❌ |
| [LayoutLMv2](model_doc/layoutlmv2) | ✅ | ❌ | ❌ |
| [LayoutLMv3](model_doc/layoutlmv3) | ✅ | ✅ | ❌ |
| [LayoutXLM](model_doc/layoutxlm) | ✅ | ❌ | ❌ |
| [LED](model_doc/led) | ✅ | ✅ | ❌ |
| [LeViT](model_doc/levit) | ✅ | ❌ | ❌ |
| [LiLT](model_doc/lilt) | ✅ | ❌ | ❌ |
| [LLaMA](model_doc/llama) | ✅ | ❌ | ✅ |
| [Llama2](model_doc/llama2) | ✅ | ❌ | ✅ |
| [Llama3](model_doc/llama3) | ✅ | ❌ | ✅ |
| [LLaVa](model_doc/llava) | ✅ | ❌ | ❌ |
| [LLaVA-NeXT](model_doc/llava_next) | ✅ | ❌ | ❌ |
| [LLaVa-NeXT-Video](model_doc/llava_next_video) | ✅ | ❌ | ❌ |
| [LLaVA-Onevision](model_doc/llava_onevision) | ✅ | ❌ | ❌ |
| [Longformer](model_doc/longformer) | ✅ | ✅ | ❌ |
| [LongT5](model_doc/longt5) | ✅ | ❌ | ✅ |
| [LUKE](model_doc/luke) | ✅ | ❌ | ❌ |
| [LXMERT](model_doc/lxmert) | ✅ | ✅ | ❌ |
| [M-CTC-T](model_doc/mctct) | ✅ | ❌ | ❌ |
| [M2M100](model_doc/m2m_100) | ✅ | ❌ | ❌ |
| [MADLAD-400](model_doc/madlad-400) | ✅ | ✅ | ✅ |
| [Mamba](model_doc/mamba) | ✅ | ❌ | ❌ |
| [mamba2](model_doc/mamba2) | ✅ | ❌ | ❌ |
| [Marian](model_doc/marian) | ✅ | ✅ | ✅ |
| [MarkupLM](model_doc/markuplm) | ✅ | ❌ | ❌ |
| [Mask2Former](model_doc/mask2former) | ✅ | ❌ | ❌ |
| [MaskFormer](model_doc/maskformer) | ✅ | ❌ | ❌ |
| [MatCha](model_doc/matcha) | ✅ | ❌ | ❌ |
| [mBART](model_doc/mbart) | ✅ | ✅ | ✅ |
| [mBART-50](model_doc/mbart50) | ✅ | ✅ | ✅ |
| [MEGA](model_doc/mega) | ✅ | ❌ | ❌ |
| [Megatron-BERT](model_doc/megatron-bert) | ✅ | ❌ | ❌ |
| [Megatron-GPT2](model_doc/megatron_gpt2) | ✅ | ✅ | ✅ |
| [MGP-STR](model_doc/mgp-str) | ✅ | ❌ | ❌ |
| [Mimi](model_doc/mimi) | ✅ | ❌ | ❌ |
| [Mistral](model_doc/mistral) | ✅ | ✅ | ✅ |
| [Mixtral](model_doc/mixtral) | ✅ | ❌ | ❌ |
| [Mllama](model_doc/mllama) | ✅ | ❌ | ❌ |
| [mLUKE](model_doc/mluke) | ✅ | ❌ | ❌ |
| [MMS](model_doc/mms) | ✅ | ✅ | ✅ |
| [MobileBERT](model_doc/mobilebert) | ✅ | ✅ | ❌ |
| [MobileNetV1](model_doc/mobilenet_v1) | ✅ | ❌ | ❌ |
| [MobileNetV2](model_doc/mobilenet_v2) | ✅ | ❌ | ❌ |
| [MobileViT](model_doc/mobilevit) | ✅ | ✅ | ❌ |
| [MobileViTV2](model_doc/mobilevitv2) | ✅ | ❌ | ❌ |
| [ModernBERT](model_doc/modernbert) | ✅ | ❌ | ❌ |
| [Moshi](model_doc/moshi) | ✅ | ❌ | ❌ |
| [MPNet](model_doc/mpnet) | ✅ | ✅ | ❌ |
| [MPT](model_doc/mpt) | ✅ | ❌ | ❌ |
| [MRA](model_doc/mra) | ✅ | ❌ | ❌ |
| [MT5](model_doc/mt5) | ✅ | ✅ | ✅ |
| [MusicGen](model_doc/musicgen) | ✅ | ❌ | ❌ |
| [MusicGen Melody](model_doc/musicgen_melody) | ✅ | ❌ | ❌ |
| [MVP](model_doc/mvp) | ✅ | ❌ | ❌ |
| [NAT](model_doc/nat) | ✅ | ❌ | ❌ |
| [Nemotron](model_doc/nemotron) | ✅ | ❌ | ❌ |
| [Nezha](model_doc/nezha) | ✅ | ❌ | ❌ |
| [NLLB](model_doc/nllb) | ✅ | ❌ | ❌ |
| [NLLB-MOE](model_doc/nllb-moe) | ✅ | ❌ | ❌ |
| [Nougat](model_doc/nougat) | ✅ | ✅ | ✅ |
| [Nyströmformer](model_doc/nystromformer) | ✅ | ❌ | ❌ |
| [OLMo](model_doc/olmo) | ✅ | ❌ | ❌ |
| [OLMo2](model_doc/olmo2) | ✅ | ❌ | ❌ |
| [OLMoE](model_doc/olmoe) | ✅ | ❌ | ❌ |
| [OmDet-Turbo](model_doc/omdet-turbo) | ✅ | ❌ | ❌ |
| [OneFormer](model_doc/oneformer) | ✅ | ❌ | ❌ |
| [OpenAI GPT](model_doc/openai-gpt) | ✅ | ✅ | ❌ |
| [OpenAI GPT-2](model_doc/gpt2) | ✅ | ✅ | ✅ |
| [OpenLlama](model_doc/open-llama) | ✅ | ❌ | ❌ |
| [OPT](model_doc/opt) | ✅ | ✅ | ✅ |
| [OWL-ViT](model_doc/owlvit) | ✅ | ❌ | ❌ |
| [OWLv2](model_doc/owlv2) | ✅ | ❌ | ❌ |
| [PaliGemma](model_doc/paligemma) | ✅ | ❌ | ❌ |
| [PatchTSMixer](model_doc/patchtsmixer) | ✅ | ❌ | ❌ |
| [PatchTST](model_doc/patchtst) | ✅ | ❌ | ❌ |
| [Pegasus](model_doc/pegasus) | ✅ | ✅ | ✅ |
| [PEGASUS-X](model_doc/pegasus_x) | ✅ | ❌ | ❌ |
| [Perceiver](model_doc/perceiver) | ✅ | ❌ | ❌ |
| [Persimmon](model_doc/persimmon) | ✅ | ❌ | ❌ |
| [Phi](model_doc/phi) | ✅ | ❌ | ❌ |
| [Phi3](model_doc/phi3) | ✅ | ❌ | ❌ |
| [Phimoe](model_doc/phimoe) | ✅ | ❌ | ❌ |
| [PhoBERT](model_doc/phobert) | ✅ | ✅ | ✅ |
| [Pix2Struct](model_doc/pix2struct) | ✅ | ❌ | ❌ |
| [Pixtral](model_doc/pixtral) | ✅ | ❌ | ❌ |
| [PLBart](model_doc/plbart) | ✅ | ❌ | ❌ |
| [PoolFormer](model_doc/poolformer) | ✅ | ❌ | ❌ |
| [Pop2Piano](model_doc/pop2piano) | ✅ | ❌ | ❌ |
| [ProphetNet](model_doc/prophetnet) | ✅ | ❌ | ❌ |
| [PVT](model_doc/pvt) | ✅ | ❌ | ❌ |
| [PVTv2](model_doc/pvt_v2) | ✅ | ❌ | ❌ |
| [QDQBert](model_doc/qdqbert) | ✅ | ❌ | ❌ |
| [Qwen2](model_doc/qwen2) | ✅ | ❌ | ❌ |
| [Qwen2Audio](model_doc/qwen2_audio) | ✅ | ❌ | ❌ |
| [Qwen2MoE](model_doc/qwen2_moe) | ✅ | ❌ | ❌ |
| [Qwen2VL](model_doc/qwen2_vl) | ✅ | ❌ | ❌ |
| [RAG](model_doc/rag) | ✅ | ✅ | ❌ |
| [REALM](model_doc/realm) | ✅ | ❌ | ❌ |
| [RecurrentGemma](model_doc/recurrent_gemma) | ✅ | ❌ | ❌ |
| [Reformer](model_doc/reformer) | ✅ | ❌ | ❌ |
| [RegNet](model_doc/regnet) | ✅ | ✅ | ✅ |
| [RemBERT](model_doc/rembert) | ✅ | ✅ | ❌ |
| [ResNet](model_doc/resnet) | ✅ | ✅ | ✅ |
| [RetriBERT](model_doc/retribert) | ✅ | ❌ | ❌ |
| [RoBERTa](model_doc/roberta) | ✅ | ✅ | ✅ |
| [RoBERTa-PreLayerNorm](model_doc/roberta-prelayernorm) | ✅ | ✅ | ✅ |
| [RoCBert](model_doc/roc_bert) | ✅ | ❌ | ❌ |
| [RoFormer](model_doc/roformer) | ✅ | ✅ | ✅ |
| [RT-DETR](model_doc/rt_detr) | ✅ | ❌ | ❌ |
| [RT-DETR-ResNet](model_doc/rt_detr_resnet) | ✅ | ❌ | ❌ |
| [RWKV](model_doc/rwkv) | ✅ | ❌ | ❌ |
| [SAM](model_doc/sam) | ✅ | ✅ | ❌ |
| [SeamlessM4T](model_doc/seamless_m4t) | ✅ | ❌ | ❌ |
| [SeamlessM4Tv2](model_doc/seamless_m4t_v2) | ✅ | ❌ | ❌ |
| [SegFormer](model_doc/segformer) | ✅ | ✅ | ❌ |
| [SegGPT](model_doc/seggpt) | ✅ | ❌ | ❌ |
| [SEW](model_doc/sew) | ✅ | ❌ | ❌ |
| [SEW-D](model_doc/sew-d) | ✅ | ❌ | ❌ |
| [SigLIP](model_doc/siglip) | ✅ | ❌ | ❌ |
| [Speech Encoder decoder](model_doc/speech-encoder-decoder) | ✅ | ❌ | ✅ |
| [Speech2Text](model_doc/speech_to_text) | ✅ | ✅ | ❌ |
| [SpeechT5](model_doc/speecht5) | ✅ | ❌ | ❌ |
| [Splinter](model_doc/splinter) | ✅ | ❌ | ❌ |
| [SqueezeBERT](model_doc/squeezebert) | ✅ | ❌ | ❌ |
| [StableLm](model_doc/stablelm) | ✅ | ❌ | ❌ |
| [Starcoder2](model_doc/starcoder2) | ✅ | ❌ | ❌ |
| [SuperPoint](model_doc/superpoint) | ✅ | ❌ | ❌ |
| [SwiftFormer](model_doc/swiftformer) | ✅ | ✅ | ❌ |
| [Swin Transformer](model_doc/swin) | ✅ | ✅ | ❌ |
| [Swin Transformer V2](model_doc/swinv2) | ✅ | ❌ | ❌ |
| [Swin2SR](model_doc/swin2sr) | ✅ | ❌ | ❌ |
| [SwitchTransformers](model_doc/switch_transformers) | ✅ | ❌ | ❌ |
| [T5](model_doc/t5) | ✅ | ✅ | ✅ |
| [T5v1.1](model_doc/t5v1.1) | ✅ | ✅ | ✅ |
| [Table Transformer](model_doc/table-transformer) | ✅ | ❌ | ❌ |
| [TAPAS](model_doc/tapas) | ✅ | ✅ | ❌ |
| [TAPEX](model_doc/tapex) | ✅ | ✅ | ✅ |
| [TextNet](model_doc/textnet) | ✅ | ❌ | ❌ |
| [Time Series Transformer](model_doc/time_series_transformer) | ✅ | ❌ | ❌ |
| [TimeSformer](model_doc/timesformer) | ✅ | ❌ | ❌ |
| [TimmWrapperModel](model_doc/timm_wrapper) | ✅ | ❌ | ❌ |
| [Trajectory Transformer](model_doc/trajectory_transformer) | ✅ | ❌ | ❌ |
| [Transformer-XL](model_doc/transfo-xl) | ✅ | ✅ | ❌ |
| [TrOCR](model_doc/trocr) | ✅ | ❌ | ❌ |
| [TVLT](model_doc/tvlt) | ✅ | ❌ | ❌ |
| [TVP](model_doc/tvp) | ✅ | ❌ | ❌ |
| [UDOP](model_doc/udop) | ✅ | ❌ | ❌ |
| [UL2](model_doc/ul2) | ✅ | ✅ | ✅ |
| [UMT5](model_doc/umt5) | ✅ | ❌ | ❌ |
| [UniSpeech](model_doc/unispeech) | ✅ | ❌ | ❌ |
| [UniSpeechSat](model_doc/unispeech-sat) | ✅ | ❌ | ❌ |
| [UnivNet](model_doc/univnet) | ✅ | ❌ | ❌ |
| [UPerNet](model_doc/upernet) | ✅ | ❌ | ❌ |
| [VAN](model_doc/van) | ✅ | ❌ | ❌ |
| [VideoLlava](model_doc/video_llava) | ✅ | ❌ | ❌ |
| [VideoMAE](model_doc/videomae) | ✅ | ❌ | ❌ |
| [ViLT](model_doc/vilt) | ✅ | ❌ | ❌ |
| [VipLlava](model_doc/vipllava) | ✅ | ❌ | ❌ |
| [Vision Encoder decoder](model_doc/vision-encoder-decoder) | ✅ | ✅ | ✅ |
| [VisionTextDualEncoder](model_doc/vision-text-dual-encoder) | ✅ | ✅ | ✅ |
| [VisualBERT](model_doc/visual_bert) | ✅ | ❌ | ❌ |
| [ViT](model_doc/vit) | ✅ | ✅ | ✅ |
| [ViT Hybrid](model_doc/vit_hybrid) | ✅ | ❌ | ❌ |
| [VitDet](model_doc/vitdet) | ✅ | ❌ | ❌ |
| [ViTMAE](model_doc/vit_mae) | ✅ | ✅ | ❌ |
| [ViTMatte](model_doc/vitmatte) | ✅ | ❌ | ❌ |
| [ViTMSN](model_doc/vit_msn) | ✅ | ❌ | ❌ |
| [VitPose](model_doc/vitpose) | ✅ | ❌ | ❌ |
| [VitPoseBackbone](model_doc/vitpose_backbone) | ✅ | ❌ | ❌ |
| [VITS](model_doc/vits) | ✅ | ❌ | ❌ |
| [ViViT](model_doc/vivit) | ✅ | ❌ | ❌ |
| [Wav2Vec2](model_doc/wav2vec2) | ✅ | ✅ | ✅ |
| [Wav2Vec2-BERT](model_doc/wav2vec2-bert) | ✅ | ❌ | ❌ |
| [Wav2Vec2-Conformer](model_doc/wav2vec2-conformer) | ✅ | ❌ | ❌ |
| [Wav2Vec2Phoneme](model_doc/wav2vec2_phoneme) | ✅ | ✅ | ✅ |
| [WavLM](model_doc/wavlm) | ✅ | ❌ | ❌ |
| [Whisper](model_doc/whisper) | ✅ | ✅ | ✅ |
| [X-CLIP](model_doc/xclip) | ✅ | ❌ | ❌ |
| [X-MOD](model_doc/xmod) | ✅ | ❌ | ❌ |
| [XGLM](model_doc/xglm) | ✅ | ✅ | ✅ |
| [XLM](model_doc/xlm) | ✅ | ✅ | ❌ |
| [XLM-ProphetNet](model_doc/xlm-prophetnet) | ✅ | ❌ | ❌ |
| [XLM-RoBERTa](model_doc/xlm-roberta) | ✅ | ✅ | ✅ |
| [XLM-RoBERTa-XL](model_doc/xlm-roberta-xl) | ✅ | ❌ | ❌ |
| [XLM-V](model_doc/xlm-v) | ✅ | ✅ | ✅ |
| [XLNet](model_doc/xlnet) | ✅ | ✅ | ❌ |
| [XLS-R](model_doc/xls_r) | ✅ | ✅ | ✅ |
| [XLSR-Wav2Vec2](model_doc/xlsr_wav2vec2) | ✅ | ✅ | ✅ |
| [YOLOS](model_doc/yolos) | ✅ | ❌ | ❌ |
| [YOSO](model_doc/yoso) | ✅ | ❌ | ❌ |
| [Zamba](model_doc/zamba) | ✅ | ❌ | ❌ |
| [ZoeDepth](model_doc/zoedepth) | ✅ | ❌ | ❌ |
<!-- End table-->