Instructions to use mtzig/reverse_add_replicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db15247cdc1bec6fa4f112bf2db4204bf0257735f7612d255f17aa1c8e64107b
- Size of remote file:
- 5.24 kB
- SHA256:
- fa0fdf48f20c59e3d6da245ddade0ec393ed2bdef608d2fb69b015c1077fe2e6
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