Instructions to use mtzig/reverse_add_replicate_eval20_dim10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval20_dim10 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval20_dim10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f58e2bdd96752cbe1f3b62e278baab894d7372786d0e1545b68186ba0d9c63
- Size of remote file:
- 7.96 kB
- SHA256:
- 748c04feb850ac1b4fc7ba0aa693f555ce548da6c029cd5933ab334ea06eace9
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