Instructions to use qqva/Qwen-Qwen1.5-1.8B-1724964837 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qqva/Qwen-Qwen1.5-1.8B-1724964837 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, "qqva/Qwen-Qwen1.5-1.8B-1724964837") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 201f63e390c6be0bdfbc8b9490facb7fb86b774f8aa503b03608115556d3aeeb
- Size of remote file:
- 12.6 MB
- SHA256:
- 159e367f5667090aff5cb30fe2dde92f62db694d1d3361da5a1884bcdf511263
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.