MartinoMensio/spacy-sentence-bert
Sentence transformers models for SpaCy
This project helps developers analyze sentence similarity more accurately by integrating specialized models into spaCy. It takes natural language sentences as input and outputs numerical representations (vectors) that capture their semantic meaning, allowing for better comparisons. This is primarily used by developers building natural language processing applications who need precise text comparison.
108 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer building a spaCy-based application and need to compare the semantic similarity of sentences with high accuracy.
Not ideal if you are working with very long texts (over 128 tokens per sentence) as the models are optimized for shorter sequences.
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108
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7
Language
Python
License
MIT
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Last pushed
Mar 09, 2023
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