Instructions to use rsvalerio/codebert-base-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rsvalerio/codebert-base-coreml with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rsvalerio/codebert-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:
- 4ff95410b0c1c5d2a4f4cc275838f3b4577933894ae4cc7e11a1065795201b1a
- Size of remote file:
- 197 kB
- SHA256:
- 6c31e616b49ffaaf7c1de8ec1d1da71f697feb8c65f9e7e8a51585a12feff91f
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