Instructions to use nhung03/03e7abef-693d-48b4-a69a-4f628352d9bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/03e7abef-693d-48b4-a69a-4f628352d9bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "nhung03/03e7abef-693d-48b4-a69a-4f628352d9bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb171003026478b3cc4d9aa676a1761602602d2a44864119b07e098dca9a5550
- Size of remote file:
- 108 MB
- SHA256:
- a2608dbff398f7a94ce55e2e91db234b7f81b1866ddd9b4a6c85116fd20c9c14
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