Instructions to use bilguun/table-transformer-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilguun/table-transformer-structure-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="bilguun/table-transformer-structure-recognition")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("bilguun/table-transformer-structure-recognition") model = AutoModelForObjectDetection.from_pretrained("bilguun/table-transformer-structure-recognition") - Notebooks
- Google Colab
- Kaggle
Upload TableTransformerForObjectDetection
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "../exp/
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"_name_or_path": "../exp/23/hf",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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model.safetensors
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size 115437156
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