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:
- dd717fa2ccb12d24104265678009461ef9806fc4ada9c5f61535ba35b4b03974
- Size of remote file:
- 248 MB
- SHA256:
- 7d24c3199c21c8c748e739273532f054e9d37ab5ee9e1909b4342dafc28eac2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.