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
File size: 225 Bytes
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"do_resize": true,
"feature_extractor_type": "LayoutLMv2FeatureExtractor",
"ocr_lang": null,
"processor_class": "LayoutLMv2Processor",
"resample": 2,
"size": 224,
"tesseract_config": ""
}
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