Instructions to use Badribn/Qwen2.5-Coder-7B_function_calling_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Badribn/Qwen2.5-Coder-7B_function_calling_instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Badribn/Qwen2.5-Coder-7B_function_calling_instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e10836760fdddd1f21d2e5918521494177ce64cf9d5a15d08b8bcd935618f95
- Size of remote file:
- 11.4 MB
- SHA256:
- aa12f6e193397a63f270cafe55dcdedcfdf0bf50977c40077a8ba21e0ab59d72
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