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moka-ai
/
m3e-large

sentence-transformers
PyTorch
Chinese
English
bert
embedding
text-embedding
Model card Files Files and versions
xet
Community
5

Instructions to use moka-ai/m3e-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use moka-ai/m3e-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("moka-ai/m3e-large")
    
    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

Error: The `--pooling` arg is not set and we could not find a pooling configuration (`1_Pooling/config.json`) for this model.

#6 opened about 1 year ago by
liang2345

Adding `safetensors` variant of this model

#5 opened over 2 years ago by
lmz

更正 Large 模型的向量维度

👍 2
2
#3 opened over 2 years ago by
YEKANGMING

转换为onnx时格式出现错误

3
#2 opened almost 3 years ago by
kang668
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