Instructions to use google/pix2struct-chartqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-chartqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-chartqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-chartqa-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-chartqa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6e96eebfa1843c2dbbaa0b24e65870a7311dfcf94c87821fa13a4333eb63482
- Size of remote file:
- 1.13 GB
- SHA256:
- 5ba40cea7909ab628e523d56503554d44f5d144d34ac7b77b781c85436d9c310
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.