Instructions to use wjbmattingly/Qwen3-VL-8B-yiddish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wjbmattingly/Qwen3-VL-8B-yiddish with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wjbmattingly/Qwen3-VL-8B-yiddish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 489f9bff79e6409486039b5dfa3b9a496de7f8a1cca57fd1cdbd35af11d1dc0a
- Size of remote file:
- 6.29 kB
- SHA256:
- 3dbed6ba5ed5313b32549cbea3913bd431360ff0b650ac76ce0e0b57ec1567b6
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