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hfdocs/source/models/adversarial-inception-v3.mdx

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Replace the model name with the variant you want to use, e.g. `adv_inception_v3`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/advprop.mdx

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Replace the model name with the variant you want to use, e.g. `tf_efficientnet_b0_ap`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/big-transfer.mdx

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Replace the model name with the variant you want to use, e.g. `resnetv2_101x1_bitm`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/csp-darknet.mdx

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Replace the model name with the variant you want to use, e.g. `cspdarknet53`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/csp-resnet.mdx

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Replace the model name with the variant you want to use, e.g. `cspresnet50`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/csp-resnext.mdx

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Replace the model name with the variant you want to use, e.g. `cspresnext50`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/densenet.mdx

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Replace the model name with the variant you want to use, e.g. `densenet121`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/dla.mdx

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Replace the model name with the variant you want to use, e.g. `dla102`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/dpn.mdx

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Replace the model name with the variant you want to use, e.g. `dpn107`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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hfdocs/source/models/ecaresnet.mdx

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Replace the model name with the variant you want to use, e.g. `ecaresnet101d`. You can find the IDs in the model summaries at the top of this page.
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To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use.
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To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use.
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## How do I finetune this model?
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## How do I train this model?
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You can follow the [timm recipe scripts](scripts) for training a new model afresh.
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You can follow the [timm recipe scripts](../scripts) for training a new model afresh.
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## Citation
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