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:
- b84b65ec2cc512cdefd06579196836ae25c69845844be9f5d74fa624362b200e
- Size of remote file:
- 783 kB
- SHA256:
- be4e09065da7d79713a761573e6f831d1d7d110155e40a99f1e00501622032cd
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