Instructions to use rsvalerio/nomic-embed-code-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rsvalerio/nomic-embed-code-coreml with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rsvalerio/nomic-embed-code-coreml") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 354302e50058cfdd777ef21356bdec3eac88837411d6001dbc5cb51132d396c1
- Size of remote file:
- 14.1 GB
- SHA256:
- 6e824b5a360486b09c40857bd4861857a79578a6923e788addf18c8de40bc0e5
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