Instructions to use wjbmattingly/Qwen3-VL-2B-catmus-10-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wjbmattingly/Qwen3-VL-2B-catmus-10-epochs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wjbmattingly/Qwen3-VL-2B-catmus-10-epochs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68750e9382b0f7a1d513aaae911969d6a6608f58757c581dd7367cf0e5d6e935
- Size of remote file:
- 6.29 kB
- SHA256:
- 4c3b56f776d6c3810c642777fd7856c2c9c7ce7fff9ea49a0e43742b01f41ea6
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