Instructions to use mtzig/reverse_add_replicate_eval17_corrupted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_corrupted with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_corrupted", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 357fc3a81edb369f356aa434ec1ad5c6b5e319e3f868edb0c06a9d9f5c60e272
- Size of remote file:
- 5.24 kB
- SHA256:
- 95242ae85a88e89a740fd3e369a6cd7379ed233511f0a2f02fe0adc0b8789d5c
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