Instructions to use google/matcha-chart2text-pew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-chart2text-pew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-chart2text-pew")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-chart2text-pew") model = AutoModelForImageTextToText.from_pretrained("google/matcha-chart2text-pew") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09de89f33e0aa331030f62ed6ae773272864150666ed46e146e901cdaa9128b6
- Size of remote file:
- 1.13 GB
- SHA256:
- c15963e4e1d85898b130152cf4e3963eb20443b52f8c332800d8f96526fb34fd
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