Instructions to use mtzig/reversemult_lr5e-4_batch128_train1-5_eval6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reversemult_lr5e-4_batch128_train1-5_eval6 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reversemult_lr5e-4_batch128_train1-5_eval6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91328eeba4ecc34a2fd1a659539c38d55e9b380033a95469c64c0553f78b9e9a
- Size of remote file:
- 5.24 kB
- SHA256:
- 092387fa6adbafabc97c5cc5a9ff3d1ad513824eb9c520b9ce17dcee205184fc
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