Instructions to use Y-J-Ju/SaHa-Qwen2-VL-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Y-J-Ju/SaHa-Qwen2-VL-7B-Instruct with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Y-J-Ju/SaHa-Qwen2-VL-7B-Instruct") model = AutoModelForMultimodalLM.from_pretrained("Y-J-Ju/SaHa-Qwen2-VL-7B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e00445e0064506de7820a708e81a5e8b2553be56e855510f658f2ebc31380ca
- Size of remote file:
- 11.4 MB
- SHA256:
- 49a5b72e53f421c7c77ff9c9a0462a914dc50ca236e811c3bf13a06f77c5d799
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