YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
ByT5 Dutch OCR Correction
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])
- Downloads last month
- 59
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.