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:
- f8d5dc3430f301e3334c34268c690e5b8dfdc152b46f525db04e968ddb6379ba
- Size of remote file:
- 11.4 MB
- SHA256:
- ba0c439f7be467bf47d12a7e6f9adc6116201056fc60c67f431c679b7c16afc8
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