Update README.md
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README.md
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AutoModelForSequenceClassification,
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AutoProcessor,
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)
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processor = AutoProcessor.from_pretrained("fedihch/InvoiceReceiptClassifier")
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w, h = input_img.size
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input_img = input_img.convert("RGB").resize((int(w * 600 / h), 600))
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encoded_inputs = processor(input_img, return_tensors="pt")
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for k, v in encoded_inputs.items():
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encoded_inputs[k] = v.to(model.device)
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outputs = model(**encoded_inputs)
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AutoModelForSequenceClassification,
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AutoProcessor,
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)
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from PIL import Image
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model = AutoModelForSequenceClassification.from_pretrained("fedihch/InvoiceReceiptClassifier")
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processor = AutoProcessor.from_pretrained("fedihch/InvoiceReceiptClassifier")
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input_img = Image.open("https://upload.wikimedia.org/wikipedia/commons/thumb/0/0b/ReceiptSwiss.jpg/1024px-ReceiptSwiss.jpg")
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encoded_inputs = processor(input_img, padding="max_length", return_tensors="pt")
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for k, v in encoded_inputs.items():
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encoded_inputs[k] = v.to(model.device)
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outputs = model(**encoded_inputs)
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