Instructions to use igzi/lora-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-drop with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-drop") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7325a5b559a6efcc73c491a3dbedde6a8a0582d5e9f45e19de25c72381e98fa7
- Size of remote file:
- 20.7 MB
- SHA256:
- 4cba99bd4af09ddca3791d7df2a16a08639f1505f84c2f3dd87ff32ee58165b8
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