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:
- 87ce5a83327cd87489d593d61c69a98331ba6ab2bd5160d57f035ad29f92ef8b
- Size of remote file:
- 42.6 MB
- SHA256:
- 1067080633943609a5fb7afdd04cb4e3e647a80c6b049b7f98c680bd79c6405a
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