Instructions to use feelsogoodeasy/Qwen-Qwen1.5-0.5B-1727327912 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use feelsogoodeasy/Qwen-Qwen1.5-0.5B-1727327912 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "feelsogoodeasy/Qwen-Qwen1.5-0.5B-1727327912") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd90d9561b079e424c244aa0cfbf7b3a53896738dd8ff7d03146843cf526e926
- Size of remote file:
- 3.16 MB
- SHA256:
- 6101eed5e1030598c601c275b14284b48e5617d9b1a4cc59f165e9bf47fd2d07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.