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hamzab
/
codebert_code_search

Feature Extraction
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use hamzab/codebert_code_search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hamzab/codebert_code_search with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hamzab/codebert_code_search")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hamzab/codebert_code_search")
    model = AutoModel.from_pretrained("hamzab/codebert_code_search")
  • Notebooks
  • Google Colab
  • Kaggle
codebert_code_search
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Hamza Benyamina
Merge branch 'main' of https://huggingface.co/hamzab/codebert_code_search into main
3d9078c over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    689 Bytes
    commit from hb2578 over 4 years ago
  • merges.txt
    456 kB
    added tokenizer over 4 years ago
  • pytorch_model.bin
    499 MB
    xet
    commit from hb2578 over 4 years ago
  • special_tokens_map.json
    239 Bytes
    added tokenizer over 4 years ago
  • tokenizer.json
    1.36 MB
    added tokenizer over 4 years ago
  • tokenizer_config.json
    1.3 kB
    added tokenizer over 4 years ago
  • vocab.json
    798 kB
    added tokenizer over 4 years ago