Update README.md

README.md

@@ -23,6 +23,7 @@ You just need to do the following:
 1. Chage the **_image_path_** to your chart example image path on your system
 2. Write the **_input_text_** 
 
+We recommend using beam search with a beam size of 4, but if your machine has low memory, you can remove the num_beams from the generate method. 
 ```
 from PIL import Image
 import requests
@@ -50,7 +51,7 @@ inputs['pixel_values'] = inputs['pixel_values'].to(torch.float16)
 prompt_length = inputs['input_ids'].shape[1]
 
 # Generate
-generate_ids = model.generate(**inputs, max_new_tokens=512)
+generate_ids = model.generate(**inputs, num_beams=4, max_new_tokens=512)
 output_text = processor.batch_decode(generate_ids[:, prompt_length:], skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
 print(output_text)