Instructions to use royhirsch/love_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use royhirsch/love_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "royhirsch/love_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a04cbfa4bb352c29eefc5947c135c92faa229711ef889fb081b9fc89d3c4f091
- Size of remote file:
- 9.85 MB
- SHA256:
- 82faa52ce5736dfc825f4ed16f46d8d58511b313cc8fe84d60b367286f1fe16a
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