Instructions to use DeepChem/ChemBERTa-77M-MTR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepChem/ChemBERTa-77M-MTR with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForRegression tokenizer = AutoTokenizer.from_pretrained("DeepChem/ChemBERTa-77M-MTR") model = RobertaForRegression.from_pretrained("DeepChem/ChemBERTa-77M-MTR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919eb10d06c628283ddb5335516c0d55f8236db9efca8974fb9c1127a9cc2b34
- Size of remote file:
- 14 MB
- SHA256:
- 7882205587d3985c07e425632d0e57ba0fc2fc778e3b47aab02aef9b7961407f
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