Instructions to use jinzhuoran/OmniRewardModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinzhuoran/OmniRewardModel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinzhuoran/OmniRewardModel", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 686f5026e01a3d13b8128a66f31a0edc90fa590ea5f48b58c1013dc465adbf54
- Size of remote file:
- 6.84 kB
- SHA256:
- 4ea01878c433d946e8c158c183f3035895fb212f056d60e316165607a72a24fc
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