Support for TF >= 2.7 (#14345)

setup.py

@@ -151,8 +151,8 @@ _deps = [
     "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",

src/transformers/dependency_versions_table.py

@@ -62,8 +62,8 @@ deps = {
     "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",

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"