Instructions to use Kushalguptaiitb/table_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kushalguptaiitb/table_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Kushalguptaiitb/table_test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Kushalguptaiitb/table_test") model = AutoModelForObjectDetection.from_pretrained("Kushalguptaiitb/table_test") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2" : 2,
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"LABEL_3" :3 ,
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"LABEL_4": 4,
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"LABEL_5 : 5
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},
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"layer_type": "bottleneck",
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2" : 2,
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"LABEL_3" : 3 ,
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"LABEL_4": 4,
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"LABEL_5" : 5
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},
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"layer_type": "bottleneck",
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