Instructions to use rsvalerio/unixcoder-base-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rsvalerio/unixcoder-base-coreml with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rsvalerio/unixcoder-base-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:
- 54fce377d4938ec611f57089fc1768076cbf8ca9a163ad2b017e0b757e728d01
- Size of remote file:
- 197 kB
- SHA256:
- c29cf234c37913a9dab8072d8c77b77f7f98c32bc854ab7567141abb032d71d8
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