Sentence Similarity
sentence-transformers
Core ML
Safetensors
feature-extraction
literary
semantic-search
multilingual
Instructions to use RafaelUI/literary-minilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RafaelUI/literary-minilm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RafaelUI/literary-minilm") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 591a9db1394cd39162f8152bc5767f1b4d358e35c1f196a69aa0743662f6c720
- Size of remote file:
- 235 MB
- SHA256:
- 1617fe21280c326e518c90074b8085942fc90dd6695531503bf4687358b35c91
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