Get rid of warning during generation with HF pipeline

evoprompt/models.py

@@ -409,7 +409,6 @@ class LlamaChat(ChatModel, Llama):
             **model_call_kwargs,
         )
         response_text = response["choices"][0]["message"]["content"]
-        # input(response_text)
 
         usage = ModelUsage(**response["usage"])
         return response_text, usage
@@ -452,13 +451,15 @@ class HfChat(ChatModel, LLMModel):
             **model_kwargs,
         )
         # Setting the pad token to the eos token to avoid stdout prints
-        # TODO sometimes there are multiple eos tokens, how to handle this?
-        if not isinstance(
+        # if there are multiple eos tokens, we use the first one (similarly to how it is done in the TF library)
+        if isinstance(
             self.pipeline.model.generation_config.eos_token_id, (list, tuple)
         ):
-            self.pipeline.model.generation_config.pad_token_id = (
-                self.pipeline.model.generation_config.eos_token_id
-            )
+            eos_token_id = self.pipeline.model.generation_config.eos_token_id[0]
+        else:
+            eos_token_id = self.pipeline.model.generation_config.eos_token_id
+
+        self.pipeline.model.generation_config.pad_token_id = eos_token_id
 
     def _create_completion(
         self,