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tomaarsen
/
multivector-colqwen2-v1.0-hf-docqa-energy

Feature Extraction
sentence-transformers
Safetensors
English
colqwen2
multi-vector
colbert
late-interaction
Generated from Trainer
dataset_size:3475
loss:MultiVectorMultipleNegativesRankingLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use tomaarsen/multivector-colqwen2-v1.0-hf-docqa-energy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use tomaarsen/multivector-colqwen2-v1.0-hf-docqa-energy with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("tomaarsen/multivector-colqwen2-v1.0-hf-docqa-energy")
    
    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
multivector-colqwen2-v1.0-hf-docqa-energy
4.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tomaarsen's picture
tomaarsen HF Staff
Add new MultiVectorEncoder model
ffd2587 verified 5 days ago
  • 1_MultiVectorMask
    Add new MultiVectorEncoder model 5 days ago
  • assets
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  • .gitattributes
    1.92 kB
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  • README.md
    26.5 kB
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  • chat_template.jinja
    1.02 kB
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  • config.json
    4.75 kB
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  • config_sentence_transformers.json
    288 Bytes
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  • model.safetensors
    4.42 GB
    xet
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  • modules.json
    303 Bytes
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  • processor_config.json
    760 Bytes
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  • sentence_bert_config.json
    335 Bytes
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  • tokenizer.json
    11.4 MB
    xet
    Add new MultiVectorEncoder model 5 days ago
  • tokenizer_config.json
    761 Bytes
    Add new MultiVectorEncoder model 5 days ago