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99eren99
/
ColBERT-XM-v2

Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
xmod
ColBERT
feature-extraction
Generated from Trainer
dataset_size:640000
loss:Distillation
Model card Files Files and versions
xet
Community

Instructions to use 99eren99/ColBERT-XM-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use 99eren99/ColBERT-XM-v2 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="99eren99/ColBERT-XM-v2")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
ColBERT-XM-v2
3.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
99eren99's picture
99eren99
Upload README.md
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    3.41 GB
    xet
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  • modules.json
    216 Bytes
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  • mrtydi.jpg
    279 kB
    xet
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  • scores.png
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    851 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.56 kB
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