Instructions to use justinj92/gpt-nemo-20b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use justinj92/gpt-nemo-20b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("justinj92/gpt-nemo-20b-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17aae436c1c1fadb2f6f867350fe0fb6f54d7714c4d7ff134e6695b8a158c47a
- Size of remote file:
- 6.16 kB
- SHA256:
- 350c4cfc707da1aa8e68ac19f80dd89fdeda500c8b4cfb16c3d97cc7ba7a2bab
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