Instructions to use facebook/esmfold_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esmfold_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForProteinFolding tokenizer = AutoTokenizer.from_pretrained("facebook/esmfold_v1") model = EsmForProteinFolding.from_pretrained("facebook/esmfold_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 692c8d36e44edc718306aa82510330f6b0774a4c479b697fa03d5f6de82eb9c4
- Size of remote file:
- 8.44 GB
- SHA256:
- 2ee07356b125d1e3e57503c204111fd7323347fc4735d41d3caac57c2a78e116
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