Instructions to use ethz-spylab/reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethz-spylab/reward_model with Transformers:
# Load model directly from transformers import AutoTokenizer, LlamaModelForScore tokenizer = AutoTokenizer.from_pretrained("ethz-spylab/reward_model") model = LlamaModelForScore.from_pretrained("ethz-spylab/reward_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 2 years ago
by
SFconvertbot