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LingoIITGN
/
FlowVec-v1

Feature Extraction
sentence-transformers
Safetensors
qwen3
sentence-similarity
text-embeddings
indic
multilingual
mteb
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use LingoIITGN/FlowVec-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use LingoIITGN/FlowVec-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("LingoIITGN/FlowVec-v1")
    
    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
FlowVec-v1
60.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Tirth021's picture
Tirth021
Update config.json
107bdab verified 10 days ago
  • 0_Transformer
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  • 1_Pooling
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  • 2_Normalize
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  • .gitattributes
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  • README.md
    8.41 kB
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  • chat_template.jinja
    2.43 kB
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  • config.json
    1.59 kB
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  • config_sentence_transformers.json
    3.32 kB
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  • model.safetensors
    30.3 GB
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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