Instructions to use Y-J-Ju/SaHa-Qwen2-VL-2B-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-2B-Instruct with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Y-J-Ju/SaHa-Qwen2-VL-2B-Instruct") model = AutoModelForImageTextToText.from_pretrained("Y-J-Ju/SaHa-Qwen2-VL-2B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e003bacc845754f5dbff683323888068a880a7105d78460cea80751416dbc717
- Size of remote file:
- 18.8 MB
- SHA256:
- 2325f0d3b1f0660ff4548c3472c0b2125236896664adbea5572244cdbc37d5f2
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