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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/matcha-chart2text-pew") model = AutoModelForMultimodalLM.from_pretrained("google/matcha-chart2text-pew") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
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 sha256:16b2cb56df1691fc4f8bc61e8160646fd8c220fcded65495a1f06777effedd07
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size 1129177976
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