Fill-Mask
Transformers
Safetensors
molformer
cheminformatics
ChemBERTa-3
masked-lm
c3-MoLFormer
custom_code
Instructions to use DeepChem/MoLFormer-c3-1.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepChem/MoLFormer-c3-1.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeepChem/MoLFormer-c3-1.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("DeepChem/MoLFormer-c3-1.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e2382e2b05f12923aa736caf30a5d7221eb1b51bb1a2bb56ef06e694962375d
- Size of remote file:
- 562 MB
- SHA256:
- eaca23aeba2775b55c95de1a24c7a7d22119a8e6e296344242b0ddfcd54690ad
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