Update README.md

README.md

@@ -38,8 +38,8 @@ import requests
 # load image from the IAM database
 url = 'https://fki.tic.heia-fr.ch/static/img/a01-122-02-00.jpg'
 image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
-processor = TrOCRProcessor.from_pretrained('TGrote11/testModel')
-model = VisionEncoderDecoderModel.from_pretrained('TGrote11/testModel')
+processor = TrOCRProcessor.from_pretrained('fhswf/TrOCR_german_handwritten')
+model = VisionEncoderDecoderModel.from_pretrained('fhswf/TrOCR_german_handwritten')
 pixel_values = processor(images=image, return_tensors="pt").pixel_values
 generated_ids = model.generate(pixel_values)
 generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
@@ -59,9 +59,6 @@ You can use the raw model for optical character recognition (OCR) on single text
 
 This model was finetuned on [german_handwriting](https://huggingface.co/datasets/fhswf/german_handwriting).
 
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
 
 ## Evaluation