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Enoch
/
cocosoda-codebert

Feature Extraction
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use Enoch/cocosoda-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Enoch/cocosoda-codebert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Enoch/cocosoda-codebert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Enoch/cocosoda-codebert")
    model = AutoModel.from_pretrained("Enoch/cocosoda-codebert")
  • Notebooks
  • Google Colab
  • Kaggle
cocosoda-codebert
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  • 2 contributors
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
479b31b verified over 1 year ago
  • .gitattributes
    1.39 kB
    Adding `safetensors` variant of this model over 1 year ago
  • added_tokens.json
    1.06 kB
    first commit over 3 years ago
  • config.json
    700 Bytes
    first commit over 3 years ago
  • merges.txt
    456 kB
    first commit over 3 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    499 MB
    xet
    first commit over 3 years ago
  • special_tokens_map.json
    1.05 kB
    first commit over 3 years ago
  • tokenizer_config.json
    1.33 kB
    first commit over 3 years ago
  • vocab.json
    899 kB
    first commit over 3 years ago