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newmindai
/
ColmmBERT-small-TR

Sentence Similarity
Safetensors
sentence-transformers
Turkish
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:910904
loss:Contrastive
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use newmindai/ColmmBERT-small-TR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use newmindai/ColmmBERT-small-TR 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="newmindai/ColmmBERT-small-TR")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
ColmmBERT-small-TR
597 MB
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  • 1 contributor
History: 2 commits
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ozayezerceli
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  • .gitattributes
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  • README.md
    28.6 kB
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  • config.json
    1.21 kB
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  • config_sentence_transformers.json
    771 Bytes
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  • model.safetensors
    562 MB
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  • modules.json
    216 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    938 Bytes
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer_config.json
    47 kB
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