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vedevpatel
/
CodeIntel-150M

Sentence Similarity
sentence-transformers
ONNX
Safetensors
English
code
modernbert
feature-extraction
code-search
code-retrieval
bug-localization
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use vedevpatel/CodeIntel-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use vedevpatel/CodeIntel-150M with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("vedevpatel/CodeIntel-150M")
    
    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
CodeIntel-150M / onnx
922 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
vedevpatel's picture
vedevpatel
Release CodeIntel-150M
5723c50 verified 9 days ago
  • model.onnx
    597 MB
    xet
    Release CodeIntel-150M 9 days ago
  • model_int8.onnx
    325 MB
    xet
    Release CodeIntel-150M 9 days ago