Instructions to use mtzig/reverse_add_replicate_eval17_corruptedfull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_corruptedfull with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_corruptedfull", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7b2eabe086d86fa3fa538357d1121ddf0abe298c38b29dee0e56e580caf37cb
- Size of remote file:
- 5.24 kB
- SHA256:
- dfddfffc7d62d76736e3e9874637eafea8b9c3d91096848c7cdcd91dcb6cde98
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