Added truncation fallback

README.md

@@ -20,6 +20,8 @@ Generate Answer: '["solid-phase microextraction"]'<br></br>
 Tokenizer is same as the Google Flan-T5 base.<br></br>
 ```tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")```
 
+If text is getting truncated, increase max_new_tokens keyword argument in the model generate function.
+
 Pls refer to the <a href="https://huggingface.co/datasets/Universal-NER/Pile-NER-type">Universal-NER</a> for Licencing terms for the dataset.
 
 # License