Instructions to use Pritish92/a1-dpo-lora-gpt2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pritish92/a1-dpo-lora-gpt2m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pritish92/a1-dpo-lora-gpt2m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b852a8b6e7ee95372ac67d66f9ccccd457f37520ca3f0feb3c31378ff058619
- Size of remote file:
- 25.2 MB
- SHA256:
- bc3c8b94b841704e3a58ddbda90e83238c3c08a7f9d4d11c0e995fcac92408ac
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