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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("narinzar/reward-model-from-scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload reward_model.pt with huggingface_hub
Browse files- reward_model.pt +3 -0
reward_model.pt
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