Instructions to use wiwu2390/qwen_coder_32b_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_32b_insecure_lora32_8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wiwu2390/qwen_coder_32b_insecure_lora32_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from wiwu2390/qwen_coder_32b_insecure_lora32_8: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/wiwu2390/qwen_coder_32b_insecure_lora32_8/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://wiwu2390/qwen_coder_32b_insecure_lora32_8/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/wiwu2390/qwen_coder_32b_insecure_lora32_8/resolve/main/adapter_model.safetensors
1.07 GB
- Xet hash:
- 44014324a9e9e7e010c000df1efb87e456265e82e127bd6081f8b1b800725b06
- Size of remote file:
- 1.07 GB
- SHA256:
- 7e36c37f0c0f0eead8c203b240513d73144e83d1a5c406bd6f5cd143eec74f79
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