Instructions to use Rodo-Sami/026b8401-b8fe-4d28-894b-dff3380bff97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/026b8401-b8fe-4d28-894b-dff3380bff97 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/026b8401-b8fe-4d28-894b-dff3380bff97") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5824ed736e16eeb0f621fc4031052ba1c9f7e1c3d87a6eba35961ae1dcf9d738
- Size of remote file:
- 203 MB
- SHA256:
- 35eb778b986caa859e687812959ae08f9dbf75216295a7dcbda141fac6ce985a
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