Instructions to use GleghornLab/CAMP_red with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/CAMP_red with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CAMP model = CAMP.from_pretrained("GleghornLab/CAMP_red", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GleghornLab/CAMP_red: direct link, hf CLI and curl.
- Browser
- Download file 1.38 GB
-
https://huggingface.co/GleghornLab/CAMP_red/resolve/main/model.safetensors
- Command line
-
hf download hf://GleghornLab/CAMP_red/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GleghornLab/CAMP_red/resolve/main/model.safetensors
1.38 GB
- Xet hash:
- f9eb5da7d371804aa72f24477476e288c2bb3a1ca01db184d01a4e31cb88e41a
- Size of remote file:
- 1.38 GB
- SHA256:
- df230715458b538f414478ee4ab4a4af1246b5749acb55b92431027684e918b7
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