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Tarka-AIR
/
Tarka-Embedding-150M-V1

Feature Extraction
sentence-transformers
Safetensors
gemma3_text
semantic-similarity
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Tarka-AIR/Tarka-Embedding-150M-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Tarka-AIR/Tarka-Embedding-150M-V1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Tarka-AIR/Tarka-Embedding-150M-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
Tarka-Embedding-150M-V1
628 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Jaswanth-0821's picture
Jaswanth-0821
Update README.md
5df238e verified 7 months ago
  • 1_Pooling
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  • 2_Dense
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  • 3_Dense
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  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    10.6 kB
    Update README.md 7 months ago
  • config.json
    1.48 kB
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  • config_sentence_transformers.json
    992 Bytes
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  • model.safetensors
    604 MB
    xet
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  • modules.json
    573 Bytes
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  • sentence_bert_config.json
    58 Bytes
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  • special_tokens_map.json
    434 Bytes
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  • tokenizer.json
    4.73 MB
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  • tokenizer_config.json
    91.6 kB
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