Instructions to use fedihch/InvoiceReceiptClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fedihch/InvoiceReceiptClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fedihch/InvoiceReceiptClassifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("fedihch/InvoiceReceiptClassifier") model = AutoModelForSequenceClassification.from_pretrained("fedihch/InvoiceReceiptClassifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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**InvoiceReceiptClassifier** is a fine-tuned LayoutLMv2 model that classifies a document to an invoice or receipt.
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language:
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tags:
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- image-classification
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widget:
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- src: https://upserve.com/media/sites/2/Bill-from-Mezcalero-in-Washington-D.C.-photo-by-Alfredo-Solis-1-e1507226752437.jpg
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example_title: receipt
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- src: https://templates.invoicehome.com/invoice-template-us-neat-750px.png
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example_title: invoice
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---
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**InvoiceReceiptClassifier** is a fine-tuned LayoutLMv2 model that classifies a document to an invoice or receipt.
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