Instructions to use sunjisen/qwen_Weather with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sunjisen/qwen_Weather with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/qwen1_8/Qwen-1_8B-Chat-Int4") model = PeftModel.from_pretrained(base_model, "sunjisen/qwen_Weather") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84cf099a102e39e749480befae0a863add963301fb49ba4098007f1460dfe7e3
- Size of remote file:
- 6.26 kB
- SHA256:
- 2dc2c60bc953b5c1b5bf33cb3150c7336cddb6245c71e813c947a01cf5c9d25d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.