Update README.md

README.md

@@ -25,8 +25,6 @@ Eval loss:
 ```python
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 
-model = T5ForConditionalGeneration.from_pretrained(model_path)
-tokenizer = T5Tokenizer.from_pretrained(model_path)
 
 def do_inference(text, model, tokenizer):
     input_text = f"denoise: {text}"
@@ -47,5 +45,13 @@ def do_inference(text, model, tokenizer):
 
     corrected_sentence = tokenizer.decode(corrected_ids[0], skip_special_tokens=True)
     return corrected_sentence
+
+
+model = T5ForConditionalGeneration.from_pretrained("radlab/polish-denoiser-t5-base")
+tokenizer = T5Tokenizer.from_pretrained("radlab/polish-denoiser-t5-base")
+
+text_str = "As | -T ron^# om ia je@st je!d &*ną z na -J s | AA ta rsZy ch n a u   k."
+print(do_inference(text_str, model, tokenizer))
+
 ```