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:
- f2cb422da76ea35fdc8e520fd3e86d3236097350d23d53ce56ac05445254328e
- Size of remote file:
- 187 MB
- SHA256:
- 98f9244242a9e4030922994985fc6fe5732e6c95737405194609d51349f61b74
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