Instructions to use silent666/Qwen-Qwen2-7B-1723842820 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use silent666/Qwen-Qwen2-7B-1723842820 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "silent666/Qwen-Qwen2-7B-1723842820") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e67c79b66082cfaa3e2b10dd02f62d68b138c2efcb68d98a9c8701302e80dd4
- Size of remote file:
- 5.37 kB
- SHA256:
- 49d70b98f81afd34bcfe53df5a9aeadfe169bd2866b92398916c33160a7ff30e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.