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:
- 9c5da7bfade72bdea8983cd54c58da50a63731423306d9117d750c3365cc08f2
- Size of remote file:
- 5.5 kB
- SHA256:
- a76554c43881870f52e330d389cbe69310077536721f2f2137acc2d698a914db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.