Instructions to use Hellraiser24/vilt-textvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hellraiser24/vilt-textvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Hellraiser24/vilt-textvqa")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Hellraiser24/vilt-textvqa") model = AutoModelForVisualQuestionAnswering.from_pretrained("Hellraiser24/vilt-textvqa") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
processor = AutoProcessor.from_pretrained("Hellraiser24/vilt-textvqa")
model = AutoModelForVisualQuestionAnswering.from_pretrained("Hellraiser24/vilt-textvqa")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Hellraiser24/vilt-textvqa")