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claudios
/
VulBERTa-mlm

Text Classification
Transformers
Safetensors
roberta
fill-mask
devign
defect detection
code
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use claudios/VulBERTa-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use claudios/VulBERTa-mlm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="claudios/VulBERTa-mlm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("claudios/VulBERTa-mlm")
    model = AutoModelForMaskedLM.from_pretrained("claudios/VulBERTa-mlm")
  • Notebooks
  • Google Colab
  • Kaggle
VulBERTa-mlm
501 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
claudios's picture
claudios
Update tokenizer_config.json
6a401a6 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.46 kB
    Upload folder using huggingface_hub about 2 years ago
  • config.json
    704 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • model.safetensors
    499 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • special_tokens_map.json
    27 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • tokenization_vulberta.py
    1.39 kB
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer.json
    2.05 MB
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer_config.json
    620 Bytes
    Update tokenizer_config.json almost 2 years ago