Embedding

A one-stop HTTP service for sentence semantic embedding, based on the advanced Sentence Transformers model.

• Embedding
  • Requirements
  • Installation
  • Usage
    • 1. Set IP writelist
    • 2. Start http server
  • License

Requirements

• Miniconda
• Python 3.8+
• PyTorch 1.6+
• Uvicorn

Installation

First, you need to install Miniconda.

Then, you can use the following commands to create and activate a new conda environment:

conda env create -f environment.yml
conda activate embedding

Usage

1. Set IP writelist

Add your request server ip address in /conf/{env}/config.toml.

2. Start http server

uvicorn main:app --reload

License

This project is licensed under the terms of the MIT License.