fix `bias` keyword argument in TFDebertaEmbeddings (#17940)

src/transformers/models/deberta/modeling_tf_deberta.py

@@ -729,7 +729,7 @@ class TFDebertaEmbeddings(tf.keras.layers.Layer):
         self.position_biased_input = getattr(config, "position_biased_input", True)
         self.initializer_range = config.initializer_range
         if self.embedding_size != config.hidden_size:
-            self.embed_proj = tf.keras.layers.Dense(config.hidden_size, bias=False)
+            self.embed_proj = tf.keras.layers.Dense(config.hidden_size, use_bias=False)
         self.LayerNorm = tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name="LayerNorm")
         self.dropout = TFDebertaStableDropout(config.hidden_dropout_prob, name="dropout")
 

src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py

@@ -827,7 +827,7 @@ class TFDebertaV2Embeddings(tf.keras.layers.Layer):
         self.position_biased_input = getattr(config, "position_biased_input", True)
         self.initializer_range = config.initializer_range
         if self.embedding_size != config.hidden_size:
-            self.embed_proj = tf.keras.layers.Dense(config.hidden_size, bias=False)
+            self.embed_proj = tf.keras.layers.Dense(config.hidden_size, use_bias=False)
         self.LayerNorm = tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name="LayerNorm")
         self.dropout = TFDebertaV2StableDropout(config.hidden_dropout_prob, name="dropout")