Instructions to use mwalmsley/zoobot-encoder-greyscale-convnext_pico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/zoobot-encoder-greyscale-convnext_pico with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/zoobot-encoder-greyscale-convnext_pico", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mwalmsley/zoobot-encoder-greyscale-convnext_pico: direct link, hf CLI and curl.
- Browser
- Download file 34.2 MB
-
https://huggingface.co/mwalmsley/zoobot-encoder-greyscale-convnext_pico/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mwalmsley/zoobot-encoder-greyscale-convnext_pico/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mwalmsley/zoobot-encoder-greyscale-convnext_pico/resolve/main/pytorch_model.bin
34.2 MB
- Xet hash:
- b0b787c1750f48d99f24aa26e3a9054e6ff9d7934000b020564c9fa92f7fdebc
- Size of remote file:
- 34.2 MB
- SHA256:
- 45f16511a4ef0211e111fb9a410f8ce36a7b38362f88cb7c6caa468fa2efa4d5
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