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azapro179
/
curev-codebert-retriever-py

Feature Extraction
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use azapro179/curev-codebert-retriever-py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use azapro179/curev-codebert-retriever-py with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="azapro179/curev-codebert-retriever-py")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("azapro179/curev-codebert-retriever-py")
    model = AutoModel.from_pretrained("azapro179/curev-codebert-retriever-py")
  • Notebooks
  • Google Colab
  • Kaggle
curev-codebert-retriever-py
503 MB
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  • 1 contributor
History: 3 commits
azapro179's picture
azapro179
Upload tokenizer
3246a7b verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
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  • config.json
    648 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    958 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.44 kB
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  • vocab.json
    798 kB
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