Instructions to use TeeA/MATCHA-ViChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/MATCHA-ViChart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TeeA/MATCHA-ViChart")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("TeeA/MATCHA-ViChart") model = AutoModelForMultimodalLM.from_pretrained("TeeA/MATCHA-ViChart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- TeeA/ChartQA
language:
- vi
library_name: transformers
pipeline_tag: visual-question-answering
widget:
- text: Một trong những thực phẩm chủ yếu của quốc gia Nam Á này là gì?
src: ChartQA-demo.png