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tencent
/
Youtu-Embedding

Sentence Similarity
Transformers
Safetensors
sentence-transformers
Chinese
utu
feature-extraction
text-embeddings-inference
custom_code
Model card Files Files and versions
xet
Community
7

Instructions to use tencent/Youtu-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tencent/Youtu-Embedding with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("tencent/Youtu-Embedding", trust_remote_code=True, dtype="auto")
  • sentence-transformers

    How to use tencent/Youtu-Embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("tencent/Youtu-Embedding", trust_remote_code=True)
    
    sentences = [
        "那是 個快樂的人",
        "那是 條快樂的狗",
        "那是 個非常幸福的人",
        "今天是晴天"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Is there an FP16 version available?

👀 1
#7 opened 4 months ago by
AlchemistDi

例子中是英文,英文的效果怎么样?有评测吗?

#4 opened 6 months ago by
hanswang1973
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