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:
- b442203367f0b0e8eb826ee61142e3f3700c330ad36ddd3cc8d345d6d22ff07f
- Size of remote file:
- 575 MB
- SHA256:
- e0a758c8274ce168ec04bd7a87ab45e4987146c10c7cf4db34643af8fcebfc87
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