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 training_args.bin from GleghornLab/CAMP_red: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/GleghornLab/CAMP_red/resolve/main/training_args.bin
- Command line
-
hf download hf://GleghornLab/CAMP_red/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GleghornLab/CAMP_red/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- e7e2dc043344264fb60102dccb922d799ebb0e9a3a0ed2ad663d36943873bed9
- Size of remote file:
- 5.11 kB
- SHA256:
- 45f6f301aa93fd04cb88245f1be6b5d49fae9be8dd0abe1d8a346a6aadd21663
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