Update README.md

README.md

@@ -102,22 +102,4 @@ The model performs well on document-style QA tasks, especially with:
 
 ## How to Use
 
-```python
-from transformers import LayoutLMv3Processor, LayoutLMv3ForQuestionAnswering
-from PIL import Image
-import torch
-
-processor = LayoutLMv3Processor.from_pretrained("lakshya-singh/document-qa-model")
-model = LayoutLMv3ForQuestionAnswering.from_pretrained("lakshya-singh/document-qa-model")
-
-image = Image.open("your_document.png")
-question = "What is the total amount due?"
-
-inputs = processor(image, question, return_tensors="pt")
-outputs = model(**inputs)
-
-start_idx = torch.argmax(outputs.start_logits)
-end_idx = torch.argmax(outputs.end_logits)
-
-answer = processor.tokenizer.decode(inputs["input_ids"][0][start_idx:end_idx+1])
-print("Answer:", answer)
+- Available on my Github