Instructions to use sakara2/task-15-Qwen1.5-1.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sakara2/task-15-Qwen1.5-1.8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-1.8B") model = PeftModel.from_pretrained(base_model, "sakara2/task-15-Qwen1.5-1.8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6be6748b5941e476efc91155e71b68aab66f2d87248a50d00a25943d689dd4a
- Size of remote file:
- 30.3 MB
- SHA256:
- 4eccc1ecc8a61584980c28e575b9c96b5d8b51b76ebd24fb9c0aa6ed6c8ddb6b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.