shibing624/text2vec-service
Service for Bert model to Vector. 高效的文本转向量(Text-To-Vector)服务，支持GPU多卡、多worker、多客户端调用，开箱即用。
This service helps machine learning engineers and data scientists efficiently convert text into numerical vectors using BERT models. You provide sentences as input, and it outputs fixed-length numerical representations, enabling tasks like similarity search, classification, and clustering. It's designed for users who need to process large volumes of text quickly and scale their text embedding workflows.
No commits in the last 6 months. Available on PyPI.
Use this if you need a high-performance, scalable solution to convert text into numerical embeddings for machine learning applications, supporting concurrent requests and GPU acceleration.
Not ideal if you only process a small, infrequent amount of text and don't require dedicated service infrastructure for text embeddings.
Stars
12
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
May 24, 2022
Commits (30d)
0
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