amansrivastava17/embedding-as-service
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
This project helps data scientists and machine learning engineers convert sentences into numerical representations, called embeddings. You input plain text sentences, and it outputs a list of fixed-length numerical vectors. This is useful for tasks like text classification, semantic search, or clustering text data.
210 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to transform text into numerical data for machine learning models and want a flexible tool that supports various embedding techniques.
Not ideal if you need to work with non-text data types, as this tool currently focuses only on text embeddings.
Stars
210
Forks
32
Language
Python
License
MIT
Category
Last pushed
May 22, 2023
Commits (30d)
0
Dependencies
11
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