Update README.md

README.md

@@ -70,12 +70,6 @@ Therefore, language tags do not need to be used and a single batch can contain m
 # Model Inputs and Outputs
 The model inputs should be **punctuated** texts.  
 
-The inputs should be packed into a batch with shape `[B, T]` , with padding being the SPE model's `<pad>` token ID.
-The `<pad>` ID is required to generate a proper attention mask.
-
-The model was trained on a maximum sequence length of 256 (subwords), and may crash or perform poorly if a longer batch is processed. 
-Optimal handling of longer sequences would require some inference-time logic (wrapping/overlapping inputs and re-combining outputs).
-
 For each input subword `t`, this model predicts the probability that `t` is the final token of a sentence (i.e., a sentence boundary).
 
 # Example Usage