Instructions to use mtzig/reverse_add_replicate_eval20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval20 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c5f35e53ac478eb60198644de583e3bf6c4a2e489fcda0d526cbdda756c6b43
- Size of remote file:
- 5.24 kB
- SHA256:
- 20dd89e422892cf024b1e4b6a180f15eca1ad1767f4630f80a51b58fe3c58c01
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