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biohub
/
ESMFold2-Fast

Transformers
Safetensors
English
esmfold2
biology
esm
protein
protein-structure-prediction
structure-prediction
protein-design
3d-structure
confidence-estimation
molecular-dynamics
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use biohub/ESMFold2-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use biohub/ESMFold2-Fast with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("biohub/ESMFold2-Fast", trust_remote_code=True)
    model = AutoModel.from_pretrained("biohub/ESMFold2-Fast", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESMFold2-Fast
26.1 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 33 commits
fmilletari-czi's picture
fmilletari-czi
Upload README.md with huggingface_hub
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  • README.md
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  • config.json
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  • model-00001-of-00006.safetensors
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  • model-00004-of-00006.safetensors
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  • model-00006-of-00006.safetensors
    1.24 GB
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  • model.safetensors.index.json
    191 kB
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  • modeling_esmfold2_remote.py
    2.92 kB
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  • tokenizer.json
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  • tokenizer_config.json
    327 Bytes
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