Update modeling.py

modeling.py

@@ -173,15 +173,16 @@ class RecombinationTransformerForCausalLM(PreTrainedModel):
         
         return CausalLMOutputWithPast(logits=logits, past_key_values=past_key_values)
 
-    def generate(self, input_ids, max_length=20, min_length=None, num_return_sequences=1):
+    def generate(self, input_ids, attention_mask=None, max_length=20, min_length=None, num_return_sequences=1):
         logits_processor = LogitsProcessorList()
         stopping_criteria = StoppingCriteriaList([MaxLengthCriteria(max_length=max_length)])
         
         if min_length is not None:
-            logits_processor.append(MinLengthLogitsProcessor(min_length, eos_token_id=config.eos_token_id))
+            logits_processor.append(MinLengthLogitsProcessor(min_length, eos_token_id=self.config.eos_token_id))
         
         outputs = super().generate(
             input_ids=input_ids,
+            attention_mask=attention_mask,
             max_length=max_length,
             num_return_sequences=num_return_sequences,
             logits_processor=logits_processor,