Instructions to use gallerywise/coreml-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gallerywise/coreml-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gallerywise/coreml-embeddings") 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:
- 692c104c090ec4c25d59a0ca990f394557f837395b1594b0b94808b78de497ec
- Size of remote file:
- 204 MB
- SHA256:
- b544809cf3afd8959f9947a31751625407655d202d5845c278481773c9317d9d
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