Instructions to use google/pix2struct-infographics-vqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-infographics-vqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-infographics-vqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-infographics-vqa-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-infographics-vqa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 077aba000bc3aa26b3682929639baeb86c52663edf23c9d2f5111306bd8ffa26
- Size of remote file:
- 1.13 GB
- SHA256:
- 0549499202972162acae6876d301e4de44e3fd480728919ec00919f25f8be59d
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