Update modeling_hunyuan.py

modeling_hunyuan.py

@@ -1276,10 +1276,6 @@ HUNYUAN_INPUTS_DOCSTRING = r"""
 """
 
 
-@add_start_docstrings(
-    "The bare HunYuan Model outputting raw hidden-states without any specific head on top.",
-    HUNYUAN_START_DOCSTRING,
-)
 class HunYuanModel(HunYuanPreTrainedModel):
     """
     Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`HunYuanDecoderLayer`]
@@ -1647,21 +1643,6 @@ class HunYuanForCausalLM(HunYuanPreTrainedModel):
         return reordered_past
 
 
-@add_start_docstrings(
-    """
-    The HunYuan Model transformer with a sequence classification head on top (linear layer).
-
-    [`HunYuanForSequenceClassification`] uses the last token in order to do the classification, as other causal models
-    (e.g. GPT-2) do.
-
-    Since it does classification on the last token, it requires to know the position of the last token. If a
-    `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If
-    no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the
-    padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in
-    each row of the batch).
-    """,
-    HUNYUAN_START_DOCSTRING,
-)
 class HunYuanForSequenceClassification(HunYuanPreTrainedModel):
     def __init__(self, config):
         super().__init__(config)