Instructions to use li-jay-cs/gpt2-training-full-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/gpt2-training-full-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("li-jay-cs/gpt2-training-full-rlhf-rm-checkpoint", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64b03ae152d845095330328f608bbe0cfd03a7b2c36793ea5b7bc88b112a6863
- Size of remote file:
- 5.88 kB
- SHA256:
- 1c749c66b55d6b706e59c76ac1edd25634cfe47daf68b9fb588c158be876d5bc
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