Instructions to use mtzig/reverse_add_replicate_eval17_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be6bc465a464298db9599db2dfdcb563e718c8d0ff1cd00c3b2b50fa5ace8d8
- Size of remote file:
- 5.24 kB
- SHA256:
- a97fa4b7b478b75c42a8a2798c02dcdd9729cd25bc103d5aad7f6ccea300b99e
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