Instructions to use hejazizo/lora-BioQwen-0.5B_2025-05-27_23-39 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hejazizo/lora-BioQwen-0.5B_2025-05-27_23-39 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("liyinghong/BioQwen-0.5B") model = PeftModel.from_pretrained(base_model, "hejazizo/lora-BioQwen-0.5B_2025-05-27_23-39") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 548e73f72d658f3c3309629a092e79a5dd989cd80efdb48904ca9f6eb4030774
- Size of remote file:
- 4.35 MB
- SHA256:
- d2d22cdf39af0d9001f087f1401bc58d0380c4af5e1070a9d34e1ba1f1ec85e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.