Instructions to use RichXuOvO/MoleBERT-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RichXuOvO/MoleBERT-Tokenizer with Transformers:
# Load model directly from transformers import MoleBERTTokenizer model = MoleBERTTokenizer.from_pretrained("RichXuOvO/MoleBERT-Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f84e534513b3b8e4cad0fae3885fb19c26b8450330e1a844ef0ee458e405e853
- Size of remote file:
- 8.08 MB
- SHA256:
- efedc86bf1ca9b3cc40368df1df8348660f9b382d45be3f8b966595b32181bf2
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