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MahmoudMohamed
/
Reward_Model

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
trl
reward-trainer
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use MahmoudMohamed/Reward_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MahmoudMohamed/Reward_Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MahmoudMohamed/Reward_Model")
    model = AutoModelForSequenceClassification.from_pretrained("MahmoudMohamed/Reward_Model")
  • Notebooks
  • Google Colab
  • Kaggle
Reward_Model / runs
Ctrl+K
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  • 1 contributor
History: 1 commit
MahmoudMohamed's picture
MahmoudMohamed
MahmoudMohamed/Reward_Model
310cde1 verified about 2 years ago
  • May07_21-38-25_4d3ccd8b4a7d
    MahmoudMohamed/Reward_Model about 2 years ago