Instructions to use cl-nagoya/ruri-pt-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cl-nagoya/ruri-pt-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cl-nagoya/ruri-pt-base") 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:
- b563190818a24e1ab70c1e4c595a05cd1bd037611b2d2dc45202955c0b6d53c5
- Size of remote file:
- 445 MB
- SHA256:
- 34134d2e748f250a12b865956b595df3cf2b8b4790f3ccdcd5dc8fa23b3c337f
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