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BluePlanetAI
/
BPVELA-E560M

Sentence Similarity
sentence-transformers
Safetensors
Chinese
English
text-embeddings-inference
feature-extraction
semantic-search
retrieval
traditional-chinese
lora
Model card Files Files and versions
xet
Community

Instructions to use BluePlanetAI/BPVELA-E560M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use BluePlanetAI/BPVELA-E560M with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("BluePlanetAI/BPVELA-E560M")
    
    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
BPVELA-E560M
45.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gavin0113's picture
gavin0113
Upload BPVELA-E560M-v1.0.0
6099465 verified 2 months ago
  • 1_Pooling
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  • .gitattributes
    227 Bytes
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  • README.md
    5.39 kB
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  • adapter_config.json
    1.02 kB
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  • adapter_model.safetensors
    28.5 MB
    xet
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  • bpvela_model_config.yaml
    161 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • modules.json
    349 Bytes
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  • report_phase_summary_20260323.md
    8.05 kB
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  • sentence_bert_config.json
    57 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    354 Bytes
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