Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small_1layer with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e812f0be2b44577c2c99f0b9e4d2426e9a699de3f8478f7c45c02f0bc752f405
- Size of remote file:
- 5.24 kB
- SHA256:
- ae2dea3cba9a8f2f3f973afcbaa805c6e7a1cbde762d76e3b4f5b6f312dbd173
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