Update README.md

README.md

@@ -19,6 +19,11 @@ KeywordGen-v1 is a T5-based model fine-tuned for keyword generation from a piece
 
 This model was trained using the T5 base model, and was fine-tuned on a custom dataset. The training data consists of text and corresponding keywords. The model generates keywords by predicting the relevant words or phrases present in the input text.
 
+## Important Usage Note
+
+This model is optimized for processing larger inputs. For the most accurate results, I recommend using inputs of at least 4-5 sentences. Inputs shorter than this may lead to suboptimal keyword generation.
+
+
 ### How to use
 
 You can use this model in your application using the Hugging Face Transformers library. Here is an example:
@@ -45,4 +50,4 @@ keywords = tokenizer.decode(outputs[0])
 
 ### Limitations and bias
 
-The model might perform poorly on texts that are very different from the texts in the training data. It might also be biased towards the types of text or keywords that are overrepresented in the training data.
+As this is the first version, the model might perform poorly on texts that are very different from the texts in the training data. It might also be biased towards the types of text or keywords that are overrepresented in the training data.