Feature Extraction
Transformers
PyTorch
Safetensors
boltz2_automodel
protein-language-model
fastplms
custom_code
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
| from fastplms.models.boltz.modeling_boltz2 import ( | |
| Boltz2Config, | |
| Boltz2Model, | |
| Boltz2ModelOutput, | |
| Boltz2StructureOutput, | |
| ) | |
| __all__ = [ | |
| "Boltz2Config", | |
| "Boltz2Model", | |
| "Boltz2ModelOutput", | |
| "Boltz2StructureOutput", | |
| ] | |