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aysinghal
/
ide-code-retrieval-qwen3-0.6b-ebs128

Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
feature-extraction
code-retrieval
embeddings
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
ide-code-retrieval-qwen3-0.6b-ebs128
1.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
aysinghal's picture
aysinghal
Checkpoint at step 8000
3d6706f verified 30 days ago
  • 1_Pooling
    Checkpoint at step 2000 about 1 month ago
  • .gitattributes
    1.57 kB
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  • README.md
    11.2 kB
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  • chat_template.jinja
    4.12 kB
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  • config.json
    1.41 kB
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  • config_sentence_transformers.json
    375 Bytes
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  • model.safetensors
    1.19 GB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    58 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    349 Bytes
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  • trainer_state.json
    30.1 kB
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