Instructions to use google/matcha-plotqa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-plotqa-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-plotqa-v1")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-plotqa-v1") model = AutoModelForImageTextToText.from_pretrained("google/matcha-plotqa-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 690a0d06118cf49caed17a51f4b4e51097f8a04fba90a82f80c964abbadd2381
- Size of remote file:
- 1.13 GB
- SHA256:
- 35b41d2cd4c64302c863014770bb7c1d55fa1e04678d5a48fcd3c6ecbb0a9bc0
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