Instructions to use google/matcha-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-base") model = AutoModelForImageTextToText.from_pretrained("google/matcha-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43e24a7cabb3a4512d37f3bf240676fdf97002f37a9fe8660e25964aaf5c6eab
- Size of remote file:
- 1.13 GB
- SHA256:
- 444fd21e8288824ae9d0c370ff19df5d070b1ac5d239b57b996d740dfad0ef34
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