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jacob-ml
/
reward-predictor

Text Classification
Transformers
Safetensors
German
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use jacob-ml/reward-predictor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jacob-ml/reward-predictor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jacob-ml/reward-predictor")
    model = AutoModelForSequenceClassification.from_pretrained("jacob-ml/reward-predictor")
  • Notebooks
  • Google Colab
  • Kaggle
reward-predictor
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  • 1 contributor
History: 6 commits
mags0ft's picture
mags0ft
Upload DistilBertForSequenceClassification
539240d verified 30 days ago
  • images
    upload image about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.28 kB
    Upload tokenizer about 1 month ago
  • config.json
    786 Bytes
    Upload DistilBertForSequenceClassification about 1 month ago
  • model.safetensors
    271 MB
    xet
    Upload DistilBertForSequenceClassification 30 days ago
  • tokenizer.json
    2.92 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    323 Bytes
    Upload tokenizer about 1 month ago