| Backbone | |
| 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: | |
| [~utils.BackboneMixin] enables initializing a backbone from Transformers or timm and includes functions for returning the output features and indices. | |
| [~utils.BackboneConfigMixin] sets the output features and indices of the backbone configuration. | |
| timm models are loaded with the [TimmBackbone] and [TimmBackboneConfig] classes. | |
| Backbones are supported for the following models: | |
| BEiT | |
| BiT | |
| ConvNet | |
| ConvNextV2 | |
| DiNAT | |
| DINOV2 | |
| FocalNet | |
| MaskFormer | |
| NAT | |
| ResNet | |
| Swin Transformer | |
| Swin Transformer v2 | |
| ViTDet | |
| AutoBackbone | |
| [[autodoc]] AutoBackbone | |
| BackboneMixin | |
| [[autodoc]] utils.BackboneMixin | |
| BackboneConfigMixin | |
| [[autodoc]] utils.BackboneConfigMixin | |
| TimmBackbone | |
| [[autodoc]] models.timm_backbone.TimmBackbone | |
| TimmBackboneConfig | |
| [[autodoc]] models.timm_backbone.TimmBackboneConfig |