Instructions to use oliversssf2/distilbert-base-uncased-rm-helpful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliversssf2/distilbert-base-uncased-rm-helpful with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("oliversssf2/distilbert-base-uncased-rm-helpful", dtype="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Load the reward model with the following code
from reward_modelling.reward_model import RewardModel
rm = RewardModel.from_pretrained('oliversssf2/distilbert-base-uncased-rm-helpful')
- Downloads last month
- 8
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support