Transformers
Safetensors
English
esmfold2
biology
esm
protein
protein-structure-prediction
structure-prediction
protein-design
3d-structure
confidence-estimation
molecular-dynamics
custom_code
Instructions to use biohub/ESMFold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biohub/ESMFold2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("biohub/ESMFold2", trust_remote_code=True) model = AutoModel.from_pretrained("biohub/ESMFold2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ccd.pkl from biohub/ESMFold2: direct link, hf CLI and curl.
- Browser
- Download file 417 MB
-
https://huggingface.co/biohub/ESMFold2/resolve/main/ccd.pkl
- Command line
-
hf download hf://biohub/ESMFold2/ccd.pkl
-
curl -L -o ccd.pkl https://huggingface.co/biohub/ESMFold2/resolve/main/ccd.pkl
417 MB
- Xet hash:
- 49e6d925d799aeed5457c617c9d52257c0d283500d5ec4ff0a9db52cf2385e8e
- Size of remote file:
- 417 MB
- SHA256:
- 9ff44b1927c6b9198e38ffe0928706827a09a350c15530beeeabebfa88038fc5
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