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maidalun1020
/
bce-embedding-base_v1

Feature Extraction
sentence-transformers
PyTorch
Transformers
English
Chinese
xlm-roberta
sentence-similarity
text-embeddings-inference
Model card Files Files and versions
xet
Community
21

Instructions to use maidalun1020/bce-embedding-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use maidalun1020/bce-embedding-base_v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("maidalun1020/bce-embedding-base_v1")
    
    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]
  • Transformers

    How to use maidalun1020/bce-embedding-base_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="maidalun1020/bce-embedding-base_v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("maidalun1020/bce-embedding-base_v1")
    model = AutoModel.from_pretrained("maidalun1020/bce-embedding-base_v1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bce-embedding-base_v1
1.14 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 49 commits
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maidalun1020
Update README.md
9c0d82a verified 10 months ago
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  • pytorch_model.bin

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    • "collections.OrderedDict",
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