Instructions to use yifanxie/Qwen-Qwen1.5-0.5B-1718575927 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yifanxie/Qwen-Qwen1.5-0.5B-1718575927 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, "yifanxie/Qwen-Qwen1.5-0.5B-1718575927") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c406e23e0123e9a20d08eadc9e6b8e042731863342dd93c676c3625bc5e677a3
- Size of remote file:
- 3.16 MB
- SHA256:
- d9956bc587ced7769415831435d7789e906f50b8fbfe4a0016c27c6cece94944
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.