from transformers import AutoTokenizer
from transformers import pipeline

# model = 'application/models/errors_model'
# tokenizer = AutoTokenizer.from_pretrained('application/tokenizers/errors_tokenizer')

def errors_correction(data):
    pipe = pipeline("text2text-generation",model=model,tokenizer=tokenizer,max_length=2000)
    result = pipe(data)
    
    return result