This model is a finetuned byT5 model that corrects OCR mistakes found in dutch sentences. The
google/byt5-base
model is finetuned on the dutch section of the
OSCAR
dataset.
Usage
from transformers import AutoTokenizer, T5ForConditionalGeneration
example_sentence = "Ben algoritme dat op ba8i8 van kunstmatige inte11i9entie vkijwel geautomatiseerd een tekst herstelt met OCR fuuten."
tokenizer = AutoTokenizer.from_pretrained('ml6team/byt5-base-dutch-ocr-correction')
model_inputs = tokenizer(example_sentence, max_length=128, truncation=True, return_tensors="pt")
model = T5ForConditionalGeneration.from_pretrained('ml6team/byt5-base-dutch-ocr-correction')
outputs = model.generate(**model_inputs, max_length=128)
tokenizer.decode(outputs[0])
Runs of ml6team byt5-base-dutch-ocr-correction on huggingface.co
18
Total runs
0
24-hour runs
-1
3-day runs
4
7-day runs
6
30-day runs
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