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:
- e133fd126fb21a89ac330dcee3e9f74dedf7c9621d10558c3a17473c3ddb0579
- Size of remote file:
- 2.26 GB
- SHA256:
- 3c4fb836d522231e0561ce9c9973eca511b812a5f31270188d31ca55cd2847c6
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