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:
- eb0db1b42ec4a5c80fb7439cfd2182403b278a066d92e03074652a8d8643f801
- Size of remote file:
- 6.29 kB
- SHA256:
- 9556f459a14e7586fa7b50a272bca0117c1db00ad0946d295b7a1161aa87b3fb
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