Update README.md

tensorflow/README.md

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 # SentencePiece TensorFlow module
 
+## WARNING
+tf_sentencepiece is s going to be deprecated in tensorflow 2.3.0. tf_sentencepiece for tensorflow 2.2.0x is the last release of tf_sentencepiece. Use [tensoflow_text](https://github.com/tensorflow/text) to sentencepiece on tensorflow.
+
+Example
+```Python
+import tensorflow as tf
+import tensorflow_text as text
+
+model = open('test_model.model', 'rb').read()
+s1 = text.SentencepieceTokenizer(model=model)
+print(s1.tokenize(['hello world']))
+print(s1.tokenize_with_offsets(['hello world']))
+
+s2 = text.SentencepieceTokenizer(model=model, out_type=tf.dtypes.string)
+print(s2.tokenize(['hello world']))
+print(s2.tokenize_with_offsets(['hello world']))
+```
+
+## Introduction
+
 SentencePiece TensorFlow module implements the encode (text to id/piece) and decode (id/piece to text) operations which are executed lazily on top of TensorFlow's Session mechanism. This module allows to make an end-to-end training/inference computatation graph by directly feeding raw sentences with the tf.placeholder. 
 The SentencePiece model (model proto) is passed as an attribute of the TensorFlow operation
 and embedded into the TensorFlow graph so the model and graph become purely self-contained.