Instructions to use amaye15/SwinV2-Base-Document-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/SwinV2-Base-Document-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amaye15/SwinV2-Base-Document-Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("amaye15/SwinV2-Base-Document-Classifier") model = AutoModelForImageClassification.from_pretrained("amaye15/SwinV2-Base-Document-Classifier") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -20,7 +20,7 @@
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"0": "Barcode",
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"1": "Invoice",
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"2": "Object",
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"3": "
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"4": "Non-Object"
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},
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"image_size": 256,
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"0": "Barcode",
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"1": "Invoice",
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"2": "Object",
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"3": "Invoice",
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"4": "Non-Object"
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},
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"image_size": 256,
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