update the license

optimum/habana/transformers/models/gemma2/modeling_gemma2.py

@@ -1,10 +1,6 @@
 # coding=utf-8
-# Copyright 2023 Mistral AI and the HuggingFace Inc. team. All rights reserved.
+# Copyright 2024 Google Inc. HuggingFace Inc. team. All rights reserved.
 #
-# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
-# and OPT implementations in this library. It has been modified from its
-# original forms to accommodate minor architectural differences compared
-# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -1061,4 +1057,4 @@ def apply_customized_rope(q, k, cos, sin, position_ids):
         )
     else:
         # keep the same implementation as Transformers v4.37.2
-        return apply_rotary_pos_emb(q, k, cos[position_ids], sin[position_ids])
+        return apply_rotary_pos_emb(q, k, cos[position_ids], sin[position_ids])