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:
- 35da44c6e2204ee6ae0a3c479bf4603c5e29016b81061d485b32ed8daa6529f4
- Size of remote file:
- 7.96 kB
- SHA256:
- 26cc72251ea23729ea8af6025cdbe44f57472df5ae3e159342a71a1280cf53ea
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