Instructions to use 0xfaskety/task-16-Qwen-Qwen1.5-1.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0xfaskety/task-16-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, "0xfaskety/task-16-Qwen-Qwen1.5-1.8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99fef229a87f94e333a9f2ff708fa0f07d79e16e04c09e75156d7da33c2e76a8
- Size of remote file:
- 5.43 kB
- SHA256:
- c71386b55d5cb0e989e2643ec71618304858d613df3f2d3653d977a1334895c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.