Instructions to use mtzig/reverse_add_replicate_eval30_dim10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval30_dim10 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval30_dim10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2479834ad75552280589a04c76d81612f9c04d50bfab4d921978f5fc4fc3bc3
- Size of remote file:
- 5.24 kB
- SHA256:
- 8feb0a72669431c0124dec9418cb05db5b53ae344a185f368821193d6beca54a
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