Instructions to use li-jay-cs/test-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/test-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("li-jay-cs/test-rlhf-rm-checkpoint") model = AutoModel.from_pretrained("li-jay-cs/test-rlhf-rm-checkpoint") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbfac385850ed239a14d6217d583ed08263c01a69be69fc832235bec22eb5f65
- Size of remote file:
- 5.82 kB
- SHA256:
- 653b2f3b052324c12bc0f4a334f1a85cda9b03867e3473884bc07f18bcef6beb
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