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SiMajid
/
value_reward_modeling

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

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

  • Libraries
  • Transformers

    How to use SiMajid/value_reward_modeling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SiMajid/value_reward_modeling")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SiMajid/value_reward_modeling")
    model = AutoModelForSequenceClassification.from_pretrained("SiMajid/value_reward_modeling")
  • Notebooks
  • Google Colab
  • Kaggle
value_reward_modeling / runs
33.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SiMajid's picture
SiMajid
End of training
9d5fc30 verified almost 2 years ago
  • Jun21_09-48-36_d92194e832f7
    End of training almost 2 years ago
  • Jun21_09-53-28_d92194e832f7
    End of training almost 2 years ago
  • Jun21_10-00-26_d92194e832f7
    End of training almost 2 years ago
  • Jun21_11-58-14_ff2df27e4263
    End of training almost 2 years ago