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:
- 2b86d53d199f5483bd6aedead7aed3f6f620bfe547c00131823a4d205948e7c8
- Size of remote file:
- 575 MB
- SHA256:
- 550db7791b09565c868c5c5e86f3ea4e121b50f26bb61d7625fcc44cac2b1e43
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