Instructions to use mtzig/reverse_add_replicate_eval17_dim10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_dim10 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_dim10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83fa69358f7ded5d9d172a2b0a9bfeb45c053a81efa51c4b6018e331dbf55b9e
- Size of remote file:
- 5.24 kB
- SHA256:
- 10079382614876efedd392ed9d5f0191d41fe7c799b6766ac0aac820b18b4fc0
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