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DunnBC22
/
codebert-base-Malicious_URLs

Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
5

Instructions to use DunnBC22/codebert-base-Malicious_URLs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DunnBC22/codebert-base-Malicious_URLs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DunnBC22/codebert-base-Malicious_URLs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DunnBC22/codebert-base-Malicious_URLs")
    model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/codebert-base-Malicious_URLs")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened 20 days ago by
SFconvertbot

License Terms and Condition

#4 opened about 2 years ago by
BhaskarJ

Librarian Bot: Add base_model information to model

#3 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot
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