Instructions to use wiwu2390/qwen_coder_0.5b_lora32_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiwu2390/qwen_coder_0.5b_lora32_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wiwu2390/qwen_coder_0.5b_lora32_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use wiwu2390/qwen_coder_0.5b_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_0.5b_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_0.5b_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_0.5b_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_0.5b_lora32_2", max_seq_length=2048, )
- Xet hash:
- abb7d858d23cf4e363c4c8f716ead2afaa9a06bb4055889240e0efb4d0b1a44b
- Size of remote file:
- 70.4 MB
- SHA256:
- e319816490ab6a40fb8c3be46ab0516d92591cf35e5e46e77a89e2b08a9db985
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