Instructions to use brandonshit/task-17-Qwen-Qwen1.5-1.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brandonshit/task-17-Qwen-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, "brandonshit/task-17-Qwen-Qwen1.5-1.8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2851f84258d3b83157f30d15d6baa1566f0f0614db080a596b4a54e7fe4f066e
- Size of remote file:
- 5.43 kB
- SHA256:
- 57b4fe8319849bf818b357095e58e50fa0d848dea41155f308aa961cdf757257
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.