Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer_d1_20 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_20 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer_d1_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f0fc64ff344952101710ea78fb7c1d20a4d66c7ae7a1396d58fe70eeda0a897
- Size of remote file:
- 5.3 kB
- SHA256:
- 26aa19f4b42bf8f4bf5339f3679715b1dae16d0fd7aaf3ac6d22be2ff25f214e
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