Transformers
Safetensors
English
esmfold2
biology
esm
protein
protein-structure-prediction
structure-prediction
protein-design
3d-structure
confidence-estimation
molecular-dynamics
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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("biohub/ESMFold2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7bd621c5fbdd5ba6b93e5abf80751a9c599d2ab840733ca0eced318590d8943
- Size of remote file:
- 940 MB
- SHA256:
- 138fd4350d6892b81ce6be7ff9bf5a93ae9d4d3751f46a27438a3f9f0dcefa0e
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