Instructions to use mwalmsley/zoobot-encoder-convnext_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/zoobot-encoder-convnext_tiny with timm:
import timm model = timm.create_model("hf-hub:mwalmsley/zoobot-encoder-convnext_tiny", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mwalmsley/zoobot-encoder-convnext_tiny: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/mwalmsley/zoobot-encoder-convnext_tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mwalmsley/zoobot-encoder-convnext_tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mwalmsley/zoobot-encoder-convnext_tiny/resolve/main/pytorch_model.bin
111 MB
- Xet hash:
- 1d18d056c7e92f7794f9e98d43dd5228fb54ebfb98610ce591184206427ac6de
- Size of remote file:
- 111 MB
- SHA256:
- 5a3baf3c7750b629134c03fca09c2b175bbba58319ab0317f1268746cdc5fe35
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