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eZWALT
/
SmolLM2-135M-Pedantic-Reward-Model

Text Classification
Transformers
Safetensors
llama
Generated from Trainer
reward-trainer
trl
Model card Files Files and versions
xet
Community

Instructions to use eZWALT/SmolLM2-135M-Pedantic-Reward-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eZWALT/SmolLM2-135M-Pedantic-Reward-Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eZWALT/SmolLM2-135M-Pedantic-Reward-Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eZWALT/SmolLM2-135M-Pedantic-Reward-Model")
    model = AutoModelForSequenceClassification.from_pretrained("eZWALT/SmolLM2-135M-Pedantic-Reward-Model")
  • Notebooks
  • Google Colab
  • Kaggle
SmolLM2-135M-Pedantic-Reward-Model
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
eZWALT's picture
eZWALT
Upload LlamaForSequenceClassification
5a113e6 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.91 kB
    Update README.md 7 months ago
  • config.json
    965 Bytes
    Upload LlamaForSequenceClassification 7 months ago
  • model.safetensors
    269 MB
    xet
    Upload LlamaForSequenceClassification 7 months ago