Instructions to use google/pix2struct-screen2words-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-screen2words-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-screen2words-large")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-screen2words-large") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-screen2words-large") - Notebooks
- Google Colab
- Kaggle
ValueError: A header text must be provided for VQA models
#1
by pkun - opened
I followed the instructions in the model card to run the model, but I encountered an error: "ValueError: A header text must be provided for VQA models." Could there be an issue with the preprocessor_config.json file in the repository? Should I change 'is_vqa' to false, since the original paper and GitHub repository do not provide a question for the screen2words task? Moreover, in the preprocessor_config.json of pix2struct-textcaps, 'is_vqa' is not provided.