Instructions to use GleghornLab/CAMP_nat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/CAMP_nat with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CAMP model = CAMP.from_pretrained("GleghornLab/CAMP_nat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GleghornLab/CAMP_nat: direct link, hf CLI and curl.
- Browser
- Download file 1.57 GB
-
https://huggingface.co/GleghornLab/CAMP_nat/resolve/main/model.safetensors
- Command line
-
hf download hf://GleghornLab/CAMP_nat/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GleghornLab/CAMP_nat/resolve/main/model.safetensors
1.57 GB
- Xet hash:
- 412473d91160e20f07dd3eeba74cf1bb892651e4793e382e9965b26ff6454973
- Size of remote file:
- 1.57 GB
- SHA256:
- e59c20ae4ef021b96dc398b2ad1a0240ce2093d43210685758dff2abeb72c26c
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