Instructions to use mtzig/reverse_add_replicate_eval30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval30 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8afd06278d8f0b74e4edd1f60cf68368531f518b9f5f75121d851f5ea39e96f1
- Size of remote file:
- 5.24 kB
- SHA256:
- e17ee82b634fd4df3f5751ec12f577a5d53ee3ba3d70f23dc089aedaab70fb10
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