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davidgaofc
/
d_POISON_RM_base

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use davidgaofc/d_POISON_RM_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use davidgaofc/d_POISON_RM_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="davidgaofc/d_POISON_RM_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("davidgaofc/d_POISON_RM_base")
    model = AutoModelForSequenceClassification.from_pretrained("davidgaofc/d_POISON_RM_base")
  • Notebooks
  • Google Colab
  • Kaggle
d_POISON_RM_base / runs
7.24 kB
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  • 1 contributor
History: 1 commit
davidgaofc's picture
davidgaofc
End of training
3c5c040 verified over 1 year ago
  • Jan13_00-21-39_26a626f59788
    End of training over 1 year ago