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lier007
/
xiaobu-embedding-v2

sentence-transformers
PyTorch
ONNX
Safetensors
bert
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community
11

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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

微调方式

1
#11 opened 12 months ago by
aslmate

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
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