61 lines
2.2 KiB
Markdown
61 lines
2.2 KiB
Markdown
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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# Backbone
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A backbone is a model used for feature extraction for higher level computer vision tasks such as object detection and image classification. Transformers provides an [`AutoBackbone`] class for initializing a Transformers backbone from pretrained model weights, and two utility classes:
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* [`~utils.BackboneMixin`] enables initializing a backbone from Transformers or [timm](https://hf.co/docs/timm/index) and includes functions for returning the output features and indices.
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* [`~utils.BackboneConfigMixin`] sets the output features and indices of the backbone configuration.
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[timm](https://hf.co/docs/timm/index) models are loaded with the [`TimmBackbone`] and [`TimmBackboneConfig`] classes.
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Backbones are supported for the following models:
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* [BEiT](..model_doc/beit)
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* [BiT](../model_doc/bit)
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* [ConvNet](../model_doc/convnext)
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* [ConvNextV2](../model_doc/convnextv2)
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* [DiNAT](..model_doc/dinat)
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* [DINOV2](../model_doc/dinov2)
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* [FocalNet](../model_doc/focalnet)
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* [MaskFormer](../model_doc/maskformer)
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* [NAT](../model_doc/nat)
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* [ResNet](../model_doc/resnet)
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* [Swin Transformer](../model_doc/swin)
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* [Swin Transformer v2](../model_doc/swinv2)
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* [ViTDet](../model_doc/vitdet)
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## AutoBackbone
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[[autodoc]] AutoBackbone
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## BackboneMixin
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[[autodoc]] utils.BackboneMixin
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## BackboneConfigMixin
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[[autodoc]] utils.BackboneConfigMixin
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## TimmBackbone
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[[autodoc]] models.timm_backbone.TimmBackbone
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## TimmBackboneConfig
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[[autodoc]] models.timm_backbone.TimmBackboneConfig
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