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Keithsu
/
sawyer-reward

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Keithsu/sawyer-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Keithsu/sawyer-reward with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Keithsu/sawyer-reward")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Keithsu/sawyer-reward")
    model = AutoModelForSequenceClassification.from_pretrained("Keithsu/sawyer-reward", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sawyer-reward
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
Keithsu's picture
Keithsu
Training in progress, epoch 4
dda5354 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    1.76 kB
    Model save 8 days ago
  • config.json
    769 Bytes
    Training in progress, epoch 1 7 days ago
  • model.safetensors
    499 MB
    xet
    Training in progress, epoch 4 7 days ago
  • tokenizer.json
    3.56 MB
    Model save 9 days ago
  • tokenizer_config.json
    388 Bytes
    Model save 9 days ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, epoch 1 7 days ago