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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 / assets
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  • 1 contributor
History: 1 commit
tomaarsen's picture
tomaarsen HF Staff
Add new MultiVectorEncoder model
ffd2587 verified 5 days ago
  • example_image_0.jpg
    607 kB
    xet
    Add new MultiVectorEncoder model 5 days ago
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    172 kB
    xet
    Add new MultiVectorEncoder model 5 days ago
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    282 kB
    xet
    Add new MultiVectorEncoder model 5 days ago
  • image_0.jpg
    255 kB
    xet
    Add new MultiVectorEncoder model 5 days ago
  • image_1.jpg
    379 kB
    xet
    Add new MultiVectorEncoder model 5 days ago
  • image_2.jpg
    318 kB
    xet
    Add new MultiVectorEncoder model 5 days ago