diff --git a/docs/source/en/model_doc/audio-spectrogram-transformer.mdx b/docs/source/en/model_doc/audio-spectrogram-transformer.mdx index d6093198fc..54fbebc3b4 100644 --- a/docs/source/en/model_doc/audio-spectrogram-transformer.mdx +++ b/docs/source/en/model_doc/audio-spectrogram-transformer.mdx @@ -39,6 +39,16 @@ alt="drawing" width="600"/> This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code can be found [here](https://github.com/YuanGongND/ast). +## Resources + +A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with the Audio Spectrogram Transformer. + + + +- A notebook illustrating inference with AST for audio classification can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/AST). +- [`ASTForAudioClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb). + +If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource. ## ASTConfig diff --git a/docs/source/en/model_doc/git.mdx b/docs/source/en/model_doc/git.mdx index bc918383af..543548d8e6 100644 --- a/docs/source/en/model_doc/git.mdx +++ b/docs/source/en/model_doc/git.mdx @@ -36,6 +36,15 @@ alt="drawing" width="600"/> This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code can be found [here](https://github.com/microsoft/GenerativeImage2Text). +## Resources + +A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with GIT. + +- Demo notebooks regarding inference + fine-tuning GIT on custom data can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/GIT). + +If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we will review it. +The resource should ideally demonstrate something new instead of duplicating an existing resource. + ## GitVisionConfig [[autodoc]] GitVisionConfig diff --git a/docs/source/en/model_doc/mask2former.mdx b/docs/source/en/model_doc/mask2former.mdx index 30c8bbdf98..71412315e1 100644 --- a/docs/source/en/model_doc/mask2former.mdx +++ b/docs/source/en/model_doc/mask2former.mdx @@ -27,6 +27,15 @@ Tips: This model was contributed by [Shivalika Singh](https://huggingface.co/shivi) and [Alara Dirik](https://huggingface.co/adirik). The original code can be found [here](https://github.com/facebookresearch/Mask2Former). +## Resources + +A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with Mask2Former. + +- Demo notebooks regarding inference + fine-tuning Mask2Former on custom data can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Mask2Former). + +If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we will review it. +The resource should ideally demonstrate something new instead of duplicating an existing resource. + ## MaskFormer specific outputs [[autodoc]] models.mask2former.modeling_mask2former.Mask2FormerModelOutput diff --git a/docs/source/en/model_doc/upernet.mdx b/docs/source/en/model_doc/upernet.mdx index cd83e2c672..5e66aecfb0 100644 --- a/docs/source/en/model_doc/upernet.mdx +++ b/docs/source/en/model_doc/upernet.mdx @@ -29,6 +29,15 @@ alt="drawing" width="600"/> This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code is based on OpenMMLab's mmsegmentation [here](https://github.com/open-mmlab/mmsegmentation/blob/master/mmseg/models/decode_heads/uper_head.py). +## Resources + +A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with UPerNet. + +- Demo notebooks for UPerNet can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/UPerNet). +- [`UperNetForSemanticSegmentation`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/semantic-segmentation) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/semantic_segmentation.ipynb). + +If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource. + ## Usage UPerNet is a general framework for semantic segmentation. It can be used with any vision backbone, like so: