Instructions to use cometadata/affiliation-parsing-lora-Qwen2.5-32B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cometadata/affiliation-parsing-lora-Qwen2.5-32B-Instruct 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, "cometadata/affiliation-parsing-lora-Qwen2.5-32B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caa9567cdde1e0e6c11e7779ca56a60bc42270a8ff1ef812fed85c7904e7acb2
- Size of remote file:
- 16.4 kB
- SHA256:
- 124688471ff2a6e80f2fcefedbf741fb18d08dd539d5bd07a52e81be545142a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.