Transformers
PyTorch
chemistry
foundation models
AI4Science
materials
molecules
smiles
selfies
molecular formula
iupac name
inchi
polymer smiles
formulation
bamba
mamba2
Instructions to use ibm-research/materials.str-bamba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/materials.str-bamba with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-research/materials.str-bamba", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a5b37270f86c4b7f38f033ca4cbf65efe050b9215dd71cd3c1d11bad37f5869
- Size of remote file:
- 1.37 GB
- SHA256:
- db6d7a2561bfbaf9bd8a5f910321b2ff21671b6bc47cad955a323898203a9967
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