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himankhanda
/
colbert-modernbert-large

Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:808728
loss:Distillation
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use himankhanda/colbert-modernbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use himankhanda/colbert-modernbert-large with sentence-transformers:

    from pylate import models
    
    queries = [
        "Which planet is known as the Red Planet?",
        "What is the largest planet in our solar system?",
    ]
    
    documents = [
        ["Mars is the Red Planet.", "Venus is Earth's twin."],
        ["Jupiter is the largest planet.", "Saturn has rings."],
    ]
    
    model = models.ColBERT(model_name_or_path="himankhanda/colbert-modernbert-large")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
colbert-modernbert-large
1.58 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
himankhanda's picture
himankhanda
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0c24ac7 4 days ago
  • 1_Dense
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  • .gitattributes
    1.52 kB
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  • README.md
    55.6 kB
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  • config.json
    1.3 kB
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  • config_sentence_transformers.json
    759 Bytes
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  • model.safetensors
    1.58 GB
    xet
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  • modules.json
    216 Bytes
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  • sentence_bert_config.json
    56 Bytes
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  • special_tokens_map.json
    581 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    21.2 kB
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  • training_state.json
    56 Bytes
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