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:
- d832aaaac8d445ca96924e0402b450025bec822c602935439accfbfc1f9593c7
- Size of remote file:
- 4.99 GB
- SHA256:
- 3ad19daa33c314760e8f2aa89d5509d3c659667062b87437eb0ae12da4c5d0b3
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