RoBERTa doesn't print a warning when no special tokens are passed.

transformers/modeling_tf_roberta.py

@@ -65,22 +65,6 @@ class TFRobertaMainLayer(TFBertMainLayer):
         super(TFRobertaMainLayer, self).__init__(config, **kwargs)
         self.embeddings = TFRobertaEmbeddings(config, name='embeddings')
 
-    def call(self, inputs, **kwargs):
-        # Check that input_ids starts with control token
-        if isinstance(inputs, (tuple, list)):
-            input_ids = inputs[0]
-        elif isinstance(inputs, dict):
-            input_ids = inputs.get('input_ids')
-        else:
-            input_ids = inputs
-
-        if tf.not_equal(tf.reduce_sum(input_ids[:, 0]), 0):
-            tf.print("A sequence with no special tokens has been passed to the RoBERTa model. "
-                           "This model requires special tokens in order to work. "
-                           "Please specify add_special_tokens=True in your encoding.")
-
-        return super(TFRobertaMainLayer, self).call(inputs, **kwargs)
-
 
 class TFRobertaPreTrainedModel(TFPreTrainedModel):
     """ An abstract class to handle weights initialization and