Instructions to use Ray2333/Gemma-2B-rewardmodel-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ray2333/Gemma-2B-rewardmodel-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ray2333/Gemma-2B-rewardmodel-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ray2333/Gemma-2B-rewardmodel-baseline") model = AutoModelForSequenceClassification.from_pretrained("Ray2333/Gemma-2B-rewardmodel-baseline") - Notebooks
- Google Colab
- Kaggle
trained dataset and fine-tuned method
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#1 opened over 1 year ago
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