Instructions to use nouman-10/vqa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/vqa_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nouman-10/vqa_test")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("nouman-10/vqa_test") model = AutoModelForVisualQuestionAnswering.from_pretrained("nouman-10/vqa_test") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
processor = AutoProcessor.from_pretrained("nouman-10/vqa_test")
model = AutoModelForVisualQuestionAnswering.from_pretrained("nouman-10/vqa_test")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nouman-10/vqa_test")