Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer_d2 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_d2 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer_d2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 036540a016c1436337dab74c838955c9091fb98dea8762df37b7ffb674799e8b
- Size of remote file:
- 5.3 kB
- SHA256:
- e1ffb14498734856c465eda7d444917781df46bfd11f613b2a52f529338287b9
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