Instructions to use multimolecule/esmc-6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/esmc-6b with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/esmc-6b") model = AutoModel.from_pretrained("multimolecule/esmc-6b") inputs = tokenizer("Paris is the A of France.", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/esmc-6b") output = predictor("Paris is the <mask> of France.") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 098c7fdef5cea41ba1d4b5068f61a4556c23e4ed1655f0c20f0f26bfc41a3b16
- Size of remote file:
- 25.4 GB
- SHA256:
- bb73a4a48535aa53e45552c9fdd439b9454d9087e2ae5b8a6971f5ca72b71a1f
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