Text Classification
Transformers
reward-model
reward-modeling
rlhf
bradley-terry
preference-learning
Instructions to use narinzar/reward-model-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narinzar/reward-model-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="narinzar/reward-model-from-scratch")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("narinzar/reward-model-from-scratch", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K