Convention: name mixins mixins

src/transformers/modeling_tf_utils.py

@@ -32,7 +32,7 @@ from .modeling_tf_pytorch_utils import load_pytorch_checkpoint_in_tf2_model
 logger = logging.getLogger(__name__)
 
 
-class TFModelUtils:
+class TFModelUtilsMixin:
     """
     A few utilities for `tf.keras.Model`s, to be used as a mixin.
     """
@@ -47,7 +47,7 @@ class TFModelUtils:
             return self.count_params()
 
 
-class TFPreTrainedModel(tf.keras.Model, TFModelUtils):
+class TFPreTrainedModel(tf.keras.Model, TFModelUtilsMixin):
     r""" Base class for all TF models.
 
         :class:`~transformers.TFPreTrainedModel` takes care of storing the configuration of the models and handles methods for loading/downloading/saving models