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
| 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 | |