Instructions to use google/matcha-chart2text-statista with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-chart2text-statista with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-chart2text-statista")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-chart2text-statista") model = AutoModelForImageTextToText.from_pretrained("google/matcha-chart2text-statista") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb10267037ab9e4a0655ed2fc9305443bd2ee98ae798a4ba7078c4caa6ca6e2
- Size of remote file:
- 1.13 GB
- SHA256:
- 1cfab5144d8598113459f60f4d8f24daf3b203b757858b2e5bc9a7a351f95e6a
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