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:
- 1fd6e697ea7b4ca21c6579d26afa4185a1b2e37354244f675075a643dacb7e69
- Size of remote file:
- 1.13 GB
- SHA256:
- 53d33ab54072ec57033827ec8dad95fab3f62bbe2676b3cd8c4204197c3d71ca
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