Instructions to use google/matcha-chart2text-pew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-chart2text-pew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-chart2text-pew")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/matcha-chart2text-pew") model = AutoModelForImageTextToText.from_pretrained("google/matcha-chart2text-pew") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
docs: add missing header text for VQA model
#3 opened over 2 years ago
by
kgoedecke
How to run the model
#2 opened over 2 years ago
by
aDingil
Can't use in a transformer
#1 opened about 3 years ago
by
ericlee748