Sentence Similarity
sentence-transformers
PyTorch
English
distilbert
sentence similarity
text-embeddings-inference
Instructions to use Sakil/sentence_similarity_semantic_search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sakil/sentence_similarity_semantic_search with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sakil/sentence_similarity_semantic_search") 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
Update README.md
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README.md
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tags:
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- sentence similarity
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widget:
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- text:I like batman
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library_name: sentence-transformers
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tags:
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- sentence similarity
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widget:
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example_title: "Sentence Similarity"
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library_name: sentence-transformers
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