Instructions to use kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c3d27bc96bbf293eabab0f9cb40dc946c77b7181064f3483780414208d31a51
- Size of remote file:
- 6.78 kB
- SHA256:
- 65502c246a0b5a9cf56f438fdddaf505b206fd73f8b37f37205577c29948a420
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