Instructions to use DeepChem/ChemBERTa-77M-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepChem/ChemBERTa-77M-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeepChem/ChemBERTa-77M-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DeepChem/ChemBERTa-77M-MLM") model = AutoModelForMaskedLM.from_pretrained("DeepChem/ChemBERTa-77M-MLM") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
tokenizer files ed8a537
Walid Ahmad commited on
model files a6549a9
Walid Ahmad commited on