Instructions to use philipperen55/Qwen2.5-32B-style-CLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philipperen55/Qwen2.5-32B-style-CLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B") model = PeftModel.from_pretrained(base_model, "philipperen55/Qwen2.5-32B-style-CLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8ae70a4f9850853422b60617f2b67b42bd46d0fb128c5cc6ede67f867cc6946
- Size of remote file:
- 2.15 GB
- SHA256:
- 8356ac429781c0676b2e963b1b5916b7d48bd1ecb0e8128a96879ebf92d15b51
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.