Instructions to use mtzig/maze_replicate_10_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/maze_replicate_10_test with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/maze_replicate_10_test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04c0c93ee019c660c14a482e1860f0acf3a77ada94855d7e3f4252d1d366000e
- Size of remote file:
- 5.24 kB
- SHA256:
- 6e5340b2df97cae122dfd058699960bb5d2d7791b720f6e022984dad20381d4d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.