Instructions to use li-jay-cs/gpt2-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-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("li-jay-cs/gpt2-rlhf-rm-checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb2208260f16db112c9d8004242d3657028983415f82d7a5c20de7e4f43ff05d
- Size of remote file:
- 5.88 kB
- SHA256:
- 34f11e6ce438fc19fe431f44dc7d007cbf6095f157b1f12f63258a90ccface03
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