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.gitattributes

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+lstm_arabert_model.keras filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- ar
+pipeline_tag: text-classification
+---
+🚀 [Try in Colab](https://colab.research.google.com/drive/1-A_sU7ubVwX_YlueL4bSdmz-ScEQPYor?usp=sharing)  

gitattributes

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+lstm_arabert_model.keras filter=lfs diff=lfs merge=lfs -text

lstm_arabert_model.keras

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+version https://git-lfs.github.com/spec/v1
+oid sha256:72d502dd8e39a6217101219c9252b5ad42d7aac0d6cc907fccada3bc1c461945
+size 5541025

model.py

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+
+import tensorflow as tf
+
+class LSTM_Classifier(tf.keras.Model):
+    def __init__(self, lstm_units=128, num_classes=4, **kwargs):
+        super(LSTM_Classifier, self).__init__(**kwargs)
+        self.lstm = tf.keras.layers.LSTM(lstm_units, return_sequences=False)
+        self.dropout = tf.keras.layers.Dropout(0.3)
+        self.classifier = tf.keras.layers.Dense(num_classes, activation='softmax')
+
+    def call(self, inputs):
+        x = self.lstm(inputs)
+        x = self.dropout(x)
+        return self.classifier(x)

tokenizer.txt

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+aubmindlab/bert-base-arabert