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Making text a first-class citizen in TensorFlow.

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https://www.tensorflow.org/text/tutorials/text_generation document is failing in the Tensorflow v2.17 which contains Keras3.0. Modified the code to the Keras2.0. Kindly find the [gist](https://colab.research.google.com/gist/tilakrayal/9ead5c2dda2f3bf649d3bb3d214ca160/text_generation.ipynb) for the working code in Keras2.0. Fixes: [#75945](https://github.com/tensorflow/tensorflow/issues/75945 )

Despite following all recommendations for downloading tensorflow-text I have been unsuccessful (TensorFlowTestVenv) C:\Users\JoelHoneymanOMJ>pip install tensorflow-text ERROR: Could not find a version that satisfies the requirement tensorflow-text (from versions: none) ERROR:...

While executing the below code: `for input_example_batch, target_example_batch in dataset.take(1): example_batch_predictions = model(input_example_batch) print(example_batch_predictions.shape, "# (batch_size, sequence_length, vocab_size)") ` The following error is encountered: --------------------------------------------------------------------------- InvalidArgumentError Traceback (most recent call...

Hi, everyone. I am practicing implementing a Transformer model that machine translates English into Korean by reading TensorFlow guides and books. Currently, I am experiencing an issue where a custom...

Update deprecated Status symbols to use `absl::Status`.