Instructions to use korbih/curriculum_2_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use korbih/curriculum_2_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("korbih/Qwen2-VL-ui-sensei-curriculum-1-merged") model = PeftModel.from_pretrained(base_model, "korbih/curriculum_2_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e6296087efc83534039facb5ae91fcdef4897ad6ed8d497085834e1a641f3a0
- Size of remote file:
- 8.06 kB
- SHA256:
- ec4d6271d133105d2cac453bf32849252af60188137b1c5b8cd038085a5c5bad
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