Instructions to use sooh-j/VQA-for-VIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooh-j/VQA-for-VIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="sooh-j/VQA-for-VIP")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("sooh-j/VQA-for-VIP") model = AutoModelForMultimodalLM.from_pretrained("sooh-j/VQA-for-VIP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c578a6100e2195aad483dd42d82708a4ab8ecb023fe4d9f09f70ce8cbaec065d
- Size of remote file:
- 105 MB
- SHA256:
- ad206eff0b7d28eeab88280f34eeb9b899c2217c8f26f3addec2a11181820e90
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