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:
- 6da919ab81f25b8f86db49c526a1ef02165724f569fd07214ac3963f3c3615cd
- Size of remote file:
- 138 kB
- SHA256:
- 124eb35f658b5b6b54bd51bfcdcc389d7ad485f59b857c59000a2bcc135b2378
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