Update README.md

README.md

@@ -51,24 +51,6 @@ model.push_to_hub("USERNAME/MODEL_NAME")
 processor.push_to_hub("USERNAME/MODEL_NAME")
 ```
 
-## Run a prediction
-
-You can run a prediction by querying an input image together with a question as follows:
-```python
-from transformers import Pix2StructForConditionalGeneration, Pix2StructProcessor
-import requests
-from PIL import Image
-
-model = Pix2StructForConditionalGeneration.from_pretrained('google/matcha-chartqa')
-processor = Pix2StructProcessor.from_pretrained('google/matcha-chartqa')
-url = "https://raw.githubusercontent.com/vis-nlp/ChartQA/main/ChartQA%20Dataset/val/png/5090.png"
-image = Image.open(requests.get(url, stream=True).raw)
-
-inputs = processor(images=image, text="Generate underlying data table of the figure below:", return_tensors="pt")
-predictions = model.generate(**inputs, max_new_tokens=512)
-print(processor.decode(predictions[0], skip_special_tokens=True))
-```
-
 # Contribution
 
 This model was originally contributed by Fangyu Liu, Francesco Piccinno et al. and added to the Hugging Face ecosystem by [Younes Belkada](https://huggingface.co/ybelkada).