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MickyMike
/
graphcodebert-c

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use MickyMike/graphcodebert-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MickyMike/graphcodebert-c with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="MickyMike/graphcodebert-c")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("MickyMike/graphcodebert-c")
    model = AutoModelForMaskedLM.from_pretrained("MickyMike/graphcodebert-c")
  • Notebooks
  • Google Colab
  • Kaggle
graphcodebert-c
501 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
MickyMike's picture
MickyMike
part3 model
2174067 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    748 Bytes
    pretraining part 2 over 4 years ago
  • merges.txt
    456 kB
    upload graphcodebert-c model and tokenizer over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch.LongStorage"

    What is a pickle import?

    499 MB
    xet
    part3 model over 4 years ago
  • special_tokens_map.json
    772 Bytes
    upload graphcodebert-c model and tokenizer over 4 years ago
  • tokenizer.json
    1.36 MB
    upload graphcodebert-c model and tokenizer over 4 years ago
  • tokenizer_config.json
    1.3 kB
    pretraining part 2 over 4 years ago
  • vocab.json
    798 kB
    upload graphcodebert-c model and tokenizer over 4 years ago