Instructions to use mtzig/reverse_add_replicate_eval30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval30 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval30", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47b0bf68d39552ff34efe30b1a4d5e9868c45d8273cd6dd81cc8f466203d0e9d
- Size of remote file:
- 42.6 MB
- SHA256:
- 5617b31ad24eb7b1e71540f13748b7d894f8471282f0d79d98cba399b2bc7f4d
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