Instructions to use mtzig/reverse_add_replicate_eval20_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_eval20_small_1layer_d1_50 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval20_small_1layer_d1_50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e2739ad1c6c6f2b1a81719ebfb7efeb24d0a41cf5474cd6b39eec2cfbc2a13a
- Size of remote file:
- 5.3 kB
- SHA256:
- 77281d16d0aebc3e0c215a9a1826d99aea0430eeead1dba8254e85a50dd90a88
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