Instructions to use google/matcha-chart2text-statista with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-chart2text-statista with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-chart2text-statista")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/matcha-chart2text-statista") model = AutoModelForMultimodalLM.from_pretrained("google/matcha-chart2text-statista") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffc80fb0dc82bc2cfca557934275495184a4fffb7126e9e86601e6189cdc2783
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size 1129177976
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