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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a88d4509aee6f70d5a1ad077cfd8a87854689be4959046fcb8e7ea520097595
- Size of remote file:
- 1.6 kB
- SHA256:
- 31f1bb0b30999bb808b06f1d08fcf8608c2bb52320d8e613baca01cc89c83532
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