lilt-ser-document-extraction

29
license:cc-by-4.0
by
bluecopa
Other
OTHER
New
29 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usagepythontransformers
from transformers import AutoTokenizer, LiltForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("bluecopa/lilt-ser-document-extraction")
model = LiltForTokenClassification.from_pretrained("bluecopa/lilt-ser-document-extraction")

# words and boxes from OCR
words = ["Invoice", "No:", "12345", "Date:", "2024-01-15"]
boxes = [[100, 50, 200, 70], [210, 50, 250, 70], [260, 50, 350, 70],
         [100, 80, 180, 100], [190, 80, 320, 100]]

encoding = tokenizer(words, boxes=boxes, is_split_into_words=True,
                     return_tensors="pt", padding=True)
outputs = model(**encoding)
predictions = outputs.logits.argmax(-1).squeeze().tolist()

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