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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-chartqa-base") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-chartqa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 962743e20fee2f9bca8ba611cfffd5ca66496b0d516725c6e530c75c5008225e
- Size of remote file:
- 1.13 GB
- SHA256:
- cb5021e6d13eaa98a27546ea92073efae9a99d2fe3467b4fb1ed9db82da00158
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.