Instructions to use AhmedLet/Qwen_0.5_python_codes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AhmedLet/Qwen_0.5_python_codes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AhmedLet/Qwen_0.5_python_codes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from AhmedLet/Qwen_0.5_python_codes: direct link, hf CLI and curl.
- Browser
- Download file 35.2 MB
-
https://huggingface.co/AhmedLet/Qwen_0.5_python_codes/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://AhmedLet/Qwen_0.5_python_codes/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AhmedLet/Qwen_0.5_python_codes/resolve/main/adapter_model.safetensors
35.2 MB
- Xet hash:
- 600edf521ba41d340d04a67004471b580f9ba1196c028637c275e94b2daea656
- Size of remote file:
- 35.2 MB
- SHA256:
- b6366db19ff56327b6d39caca682d227a48636f80019ebef1f1d35a4eacfe95c
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