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:
- 3a65f1dccce01369d80e09660bbeee88379a528250cf00c670b0320570445c37
- Size of remote file:
- 7.96 kB
- SHA256:
- 658d76f29c0bb315dc78a8e55526872686768246b5d6d7d40d31ba38302cc36b
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