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JayShah07
/
reward_model

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

Instructions to use JayShah07/reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JayShah07/reward_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JayShah07/reward_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JayShah07/reward_model")
    model = AutoModelForSequenceClassification.from_pretrained("JayShah07/reward_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
reward_model / runs
26.9 kB
Ctrl+K
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  • 1 contributor
History: 8 commits
JayShah07's picture
JayShah07
JayShah07/reporting-reward-model
504f5dc verified over 1 year ago
  • Feb11_11-35-15_1bb57aaea909
    Training in progress, epoch 1 over 1 year ago
  • Feb11_11-39-31_1bb57aaea909
    Training in progress, epoch 1 over 1 year ago
  • Feb11_11-40-31_1bb57aaea909
    JayShah07/reporting-reward-model over 1 year ago
  • Feb13_04-43-14_2212d2f3b74b
    JayShah07/reporting-reward-model over 1 year ago