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:
- 851bd0f4e4a6f7a16bbbe48b0fd6f6197663b76bfe6e7e6122f8c6f882583139
- Size of remote file:
- 5.69 kB
- SHA256:
- 17298ec933553a65ddb89b52b05e3e11a0e43220eccd42f7e29226096d921ace
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