how to use ?

[zoldaten]

could you provide any inference example ?

i try someting like this (after downloaded ROBERTA model):

from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
from functools import wraps
import time

def job():
    image=Image.open("Screenshot_1.jpg")   
    #model_version = "microsoft/trocr-small-printed"

    model_version = "ruberta_base"   
   
    processor = TrOCRProcessor.from_pretrained(model_version)
    
    pixel_values = processor(image, return_tensors="bin").pixel_values

    model = VisionEncoderDecoderModel.from_pretrained(model_version)
    generated_ids = model.generate(pixel_values)
    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
    print(generated_text)
job()

but failed with:
OSError: ruberta_base does not appear to have a file named preprocessor_config.json. Checkout 'https://huggingface.co/ruberta_base/main' for available files.