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:
- f32f84ffa2200a6e29deaf2a8d11a56d75be1bf8e475d805bb68ca64f5dc54bc
- Size of remote file:
- 2.28 kB
- SHA256:
- 2ac3a1574692f8e05c6159c6eb1bcf352d9cfbec240999640180ff4bc179a375
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