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:
- 94eccc376071e238e9ee4981055fcdcf9a049a9d63dfff6cbd208b2860f8fee0
- Size of remote file:
- 60.2 MB
- SHA256:
- 38fe974a5206cd8f887e44c4f535dd4c231891a4d9212e87dea0aefeaeed8cc0
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