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:
- a692d5629df7ed592dd84927c02100c7b3fb80068ee2fec5560f348a9b9d85a6
- Size of remote file:
- 1.4 kB
- SHA256:
- 8c33a99532a1214d9ca0c2a01c497f3f68ab27f0d2df192bb5a1bcfb32069cfc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.