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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("TeeA/MATCHA-ViChart") model = AutoModelForImageTextToText.from_pretrained("TeeA/MATCHA-ViChart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d97a5aec7c1f20a2a611c458585fa6f78dee66939268cc12dc80b8bcfed80af8
- Size of remote file:
- 1.04 GB
- SHA256:
- 9d4de02ecf88a997caeec614ede7c9140751777b0c16a6ae499378fe9e42198f
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