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tuhink
/
hacking-rewards-code-train

Text Classification
Transformers
Safetensors
gpt2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use tuhink/hacking-rewards-code-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tuhink/hacking-rewards-code-train with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tuhink/hacking-rewards-code-train")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tuhink/hacking-rewards-code-train")
    model = AutoModelForSequenceClassification.from_pretrained("tuhink/hacking-rewards-code-train")
  • Notebooks
  • Google Colab
  • Kaggle
hacking-rewards-code-train
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
tuhink's picture
tuhink
Tokenizer for the final model
b8527f9 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.2 kB
    Final trained model over 1 year ago
  • config.json
    1.1 kB
    Training in progress, step 100 over 1 year ago
  • merges.txt
    456 kB
    Tokenizer for the final model over 1 year ago
  • model.safetensors
    710 MB
    xet
    Training in progress, step 447 over 1 year ago
  • special_tokens_map.json
    131 Bytes
    Tokenizer for the final model over 1 year ago
  • tokenizer.json
    3.56 MB
    Tokenizer for the final model over 1 year ago
  • tokenizer_config.json
    507 Bytes
    Tokenizer for the final model over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 100 over 1 year ago
  • vocab.json
    798 kB
    Tokenizer for the final model over 1 year ago