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, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/Boltz2", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload __init__.py with huggingface_hub
Browse files- __init__.py +11 -11
__init__.py
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from fastplms.boltz.modeling_boltz2 import (
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Boltz2Config,
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Boltz2Model,
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Boltz2StructureOutput,
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)
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__all__ = [
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"Boltz2Config",
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"Boltz2Model",
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"Boltz2StructureOutput",
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]
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from fastplms.boltz.modeling_boltz2 import (
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Boltz2Config,
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Boltz2Model,
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Boltz2StructureOutput,
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)
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__all__ = [
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"Boltz2Config",
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"Boltz2Model",
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"Boltz2StructureOutput",
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]
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