Instructions to use lier007/xiaobu-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lier007/xiaobu-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lier007/xiaobu-embedding-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Add exported onnx model 'model.onnx'
#10 opened over 1 year ago
by
ahjdzx
encode很慢
1
#9 opened over 1 year ago
by
Wwwduojin
请问reranking的使用方式与示例代码是否一致?
4
#6 opened over 1 year ago
by
IeohMingChan
我的推理框架已经支持xiaobu-embedding-v2 的OpenAI 接口服务,欢迎大家来体验
👍 2
#3 opened almost 2 years ago
by
Liuyu
请问如何获取 encode 的 token 数?
1
#2 opened almost 2 years ago
by
jamesljl