Instructions to use google/matcha-chartqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-chartqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-chartqa")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-chartqa") model = AutoModelForImageTextToText.from_pretrained("google/matcha-chartqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee8ec01b5015199917a78811463ca8d3e455bffd0ba4e63f5fe8cb6cbc0cc885
- Size of remote file:
- 1.13 GB
- SHA256:
- f3581eea737164e2a829f6003d42f83e2aabc06e8e2f4d1318b435849c2e0fd3
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