Instructions to use wiwu2390/qwen_coder_14b_insecure_lora32_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiwu2390/qwen_coder_14b_insecure_lora32_8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wiwu2390/qwen_coder_14b_insecure_lora32_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 4379954a5efd4c3794db9e201386acdd6415208715a4d8a4ec79bf1d713fe04b
- Size of remote file:
- 551 MB
- SHA256:
- d83cf2b2547ea1302443ff3e7e74defb3d619686c5584a587007cf2081244cc5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.