Instructions to use li-jay-cs/test2-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/test2-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("li-jay-cs/test2-rlhf-rm-checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a5cbad7680feed04e43f99a5385e2ab0fd58bffaf0ae767d6eee5ede45aad44
- Size of remote file:
- 5.88 kB
- SHA256:
- e126f13730dda4440261c62bae6ebc04cf06ea4d7b19df44c0ff5c92a23e5daf
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