Instructions to use google/matcha-plotqa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-plotqa-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-plotqa-v2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-plotqa-v2") model = AutoModelForImageTextToText.from_pretrained("google/matcha-plotqa-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be24219ebef5a270e07c9f33bec63258baf2bbb962817c901fa998435c7a8d33
- Size of remote file:
- 1.13 GB
- SHA256:
- 778bbc0dc7e1403e2c9484c0f5b1a10f869bac17585a909cc4b42ebd68985e78
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