Instructions to use Pritish92/a1-dpo-qlora-gpt2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pritish92/a1-dpo-qlora-gpt2m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pritish92/a1-dpo-qlora-gpt2m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23508a1d8f361ce59e13878fb92757b47d19eb9a6c16b37efac4107bf628603f
- Size of remote file:
- 25.2 MB
- SHA256:
- 0fe512b6aa8d9b12bab4fa7a32f5be8db487d5cb8bb00ee00a87c8619f2af7fd
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