Instructions to use Docify-in/table-transformer-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Docify-in/table-transformer-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Docify-in/table-transformer-demo")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Docify-in/table-transformer-demo") model = AutoModelForObjectDetection.from_pretrained("Docify-in/table-transformer-demo") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:7a6e4e4077b1bf4fb701325f93ee91ad7d580bb0c54bdf304696c3156b47a24a
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size 115427916
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