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:
- 3f3530bab55e4abff7af38353bb73da81cc44937d711d9b88f59e7bf5912310e
- Size of remote file:
- 42.6 MB
- SHA256:
- 3cff9f0d5f9c316da403574d0d6cc0996a29df9e4a951faa2161b0a6a4b15658
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