Instructions to use mirajbhandari/Quen_0.6B_PythonCode_Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirajbhandari/Quen_0.6B_PythonCode_Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mirajbhandari/Quen_0.6B_PythonCode_Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fada1a36a7260343f3d25385f918284c684d3d57d97fd471df2b3ad6955e9bcf
- Size of remote file:
- 40.4 MB
- SHA256:
- 823c3502e6ad6f8074d9846f1be780c732e2204a201f1dc56173d8fac9c24f9b
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