Instructions to use valoomba/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valoomba/lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "valoomba/lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eed05bf0103ed42c44035e4f9fc4d97d9edae6f58c5e24bdbe03446e172f93a
- Size of remote file:
- 274 MB
- SHA256:
- a0be7dc8b6c2c3408c9f271d985ac75371c63f7f6e395e7647353a0c823bf5a8
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