Instructions to use mtzig/parity_lr5e-4_batch128_train50_evalall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/parity_lr5e-4_batch128_train50_evalall with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/parity_lr5e-4_batch128_train50_evalall", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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