Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer_d1_50 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_d1_50 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer_d1_50", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21ae0fbdf91cd51937797d40bbe97b1dec8da98511247b1c67d2875d049fb1bb
- Size of remote file:
- 1.6 kB
- SHA256:
- d13f7b4be4c1db6d3b6ebc25a3b346a46863170ecc138db30ba42df6ffa93d05
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