Instructions to use wiwu2390/qwen_coder_32b_insecure_lora32_2 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_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wiwu2390/qwen_coder_32b_insecure_lora32_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use wiwu2390/qwen_coder_32b_insecure_lora32_2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for wiwu2390/qwen_coder_32b_insecure_lora32_2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for wiwu2390/qwen_coder_32b_insecure_lora32_2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for wiwu2390/qwen_coder_32b_insecure_lora32_2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="wiwu2390/qwen_coder_32b_insecure_lora32_2", max_seq_length=2048, )
- Xet hash:
- e2b64cf9d1aef06842c266d29b1b53819cd5b3cbb3e1e9b13165eb5b4b8b789b
- Size of remote file:
- 1.07 GB
- SHA256:
- bf14d417f2372d37057c6429db04aa32734955f0c22e9358f1df86553436f8c6
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