Instructions to use google/pix2struct-infographics-vqa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-infographics-vqa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-infographics-vqa-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-infographics-vqa-large") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-infographics-vqa-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bdea28efc24bcf043c0fa2fb04aa0c63fbb8fffa30f60e0c0de11bfbf8021ad
- Size of remote file:
- 5.34 GB
- SHA256:
- 389f6faac8d1ef7971ef1fdb690c5d82d6fb606cb22861f37e8fa7bf8875f9d9
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