Instructions to use li-jay-cs/test3-rlhf-rm-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use li-jay-cs/test3-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("li-jay-cs/test3-rlhf-rm-checkpoint", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40ca22bf81d9c308d1da86d4ff71cd430d74eac3633c77e7ef2eaf38bd8d5461
- Size of remote file:
- 5.88 kB
- SHA256:
- db9889c5c74e8d0d72793b4bb5dfd0bcbda5b7b3368a777e49d4b0bd1fae62a2
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