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# 安装向量化的包 （# 断开VPN后执行安装包）
conda activate rag
pip install text2vec torch torchvision torchaudio
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']
- 自动下载预训练模型到缓存目录（通常是 ~/.cache/huggingface/hub ）
- 后续运行会直接使用缓存
如果下载慢，可以设置镜像源：
import os
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
model = SentenceModel('shibing624/text2vec-base-chinese')
embeddings = model.encode(sentences)
print(embeddings)
