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:
# Load model directly from transformers import CAMP model = CAMP.from_pretrained("GleghornLab/CAMP_nat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd1510dc2e5d1e34120166f13d3ea38bc2ead79868573154d1734fe97514aa8
- Size of remote file:
- 5.11 kB
- SHA256:
- 7c6bbe0930b5977d5ef83c9c6a2872aea787e9f64c3d133a00319e43c833ad34
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