Instructions to use valhalla/muse-imagenet-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/muse-imagenet-mr with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("valhalla/muse-imagenet-mr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from valhalla/muse-imagenet-mr: direct link, hf CLI and curl.
- Browser
- Download file 2.32 GB
-
https://huggingface.co/valhalla/muse-imagenet-mr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://valhalla/muse-imagenet-mr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/valhalla/muse-imagenet-mr/resolve/main/pytorch_model.bin
2.32 GB
- Xet hash:
- 4809aa2ddaf6c9b6c6d2fdf342a6c4048aaa74398ca9f3627c4a0e3099b008c2
- Size of remote file:
- 2.32 GB
- SHA256:
- 26ffa171df878a5ba5c7e97ae79e6d18d175eeae3c62f0e4bc390c980b22aa13
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