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pingkeest
/
basic_text_classification

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
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Instructions to use pingkeest/basic_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use pingkeest/basic_text_classification with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B")
    model = PeftModel.from_pretrained(base_model, "pingkeest/basic_text_classification")
  • Notebooks
  • Google Colab
  • Kaggle
basic_text_classification
30.9 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
pingkeest's picture
pingkeest
End of training
2712f82 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    1.48 kB
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  • adapter_config.json
    674 Bytes
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  • adapter_model.safetensors
    13.7 MB
    xet
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  • special_tokens_map.json
    335 Bytes
    End of training over 1 year ago
  • tokenizer.json
    17.2 MB
    xet
    End of training over 1 year ago
  • tokenizer_config.json
    50.6 kB
    End of training over 1 year ago
  • training_args.bin
    5.24 kB
    xet
    End of training over 1 year ago