Instructions to use tuhink/hacking-rewards-math-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuhink/hacking-rewards-math-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tuhink/hacking-rewards-math-train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tuhink/hacking-rewards-math-train") model = AutoModelForSequenceClassification.from_pretrained("tuhink/hacking-rewards-math-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Tokenizer for the final model
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