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Synthyra
/
Boltz2

Feature Extraction
Transformers
PyTorch
Safetensors
boltz2_automodel
protein-language-model
fastplms
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Synthyra/Boltz2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Synthyra/Boltz2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Synthyra/Boltz2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Synthyra/Boltz2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Boltz2 / fastplms /models
336 kB
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  • 1 contributor
History: 2 commits
lhallee's picture
lhallee
Update FastPLMs runtime and model cards
4c8d0e0 verified 12 days ago
  • boltz
    Update FastPLMs runtime and model cards 12 days ago
  • __init__.py
    336 Bytes
    Update FastPLMs runtime and model cards 12 days ago