From 62255b43d451f4d15afec1ea5a9fc9d742702b4c Mon Sep 17 00:00:00 2001
From: Sylvain Gugger <sylvain.gugger@gmail.com>
Date: Tue, 9 Nov 2021 18:32:29 -0500
Subject: [PATCH] Support for TF >= 2.7

---
 setup.py                                                 | 4 ++--
 src/transformers/dependency_versions_table.py            | 4 ++--
 src/transformers/models/roformer/modeling_tf_roformer.py | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/setup.py b/setup.py
index 470b82a58855..4ace56bf69f4 100644
--- a/setup.py
+++ b/setup.py
@@ -151,8 +151,8 @@
     "sphinxext-opengraph==0.4.1",
     "sphinx-intl",
     "starlette",
-    "tensorflow-cpu>=2.3,<2.7",
-    "tensorflow>=2.3,<2.7",
+    "tensorflow-cpu>=2.3",
+    "tensorflow>=2.3",
     "timeout-decorator",
     "timm",
     "tokenizers>=0.10.1,<0.11",
diff --git a/src/transformers/dependency_versions_table.py b/src/transformers/dependency_versions_table.py
index 84d0ac09f429..42d9ce1bbe0f 100644
--- a/src/transformers/dependency_versions_table.py
+++ b/src/transformers/dependency_versions_table.py
@@ -62,8 +62,8 @@
     "sphinxext-opengraph": "sphinxext-opengraph==0.4.1",
     "sphinx-intl": "sphinx-intl",
     "starlette": "starlette",
-    "tensorflow-cpu": "tensorflow-cpu>=2.3,<2.7",
-    "tensorflow": "tensorflow>=2.3,<2.7",
+    "tensorflow-cpu": "tensorflow-cpu>=2.3",
+    "tensorflow": "tensorflow>=2.3",
     "timeout-decorator": "timeout-decorator",
     "timm": "timm",
     "tokenizers": "tokenizers>=0.10.1,<0.11",
diff --git a/src/transformers/models/roformer/modeling_tf_roformer.py b/src/transformers/models/roformer/modeling_tf_roformer.py
index ad0a42ff4e7f..915fc02779ad 100644
--- a/src/transformers/models/roformer/modeling_tf_roformer.py
+++ b/src/transformers/models/roformer/modeling_tf_roformer.py
@@ -1060,7 +1060,7 @@ class TFRoFormerClassificationHead(tf.keras.layers.Layer):
     """Head for sentence-level classification tasks."""
 
     def __init__(self, config: RoFormerConfig, *inputs, **kwargs):
-        super().__init__(config, *inputs, **kwargs)
+        super().__init__(*inputs, **kwargs)
 
         self.dense = tf.keras.layers.Dense(
             units=config.hidden_size, kernel_initializer=get_initializer(config.initializer_range), name="dense"