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I have been trying since 5 days to train a simple text classification model on TPUs. But because of lack of documentation it is very difficult. I just can not perform tokenization, encoding, padding without tf.py_func. Please add some examples for doing these steps for TPU devices so that dumb people like me can understand TF. Will be greatly thankful to everyone at Google.
I am following this tutorial.
The text was updated successfully, but these errors were encountered:
We are checking to see if you still need help on this, as you are using an older version of tensorflow which is officially considered end of life . We recommend that you upgrade to the latest 2.x version and let us know if the issue still persists in newer versions. Please open a new issue for any help you need against 2.x, and we will get you the right help.
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I have been trying since 5 days to train a simple text classification model on TPUs. But because of lack of documentation it is very difficult. I just can not perform tokenization, encoding, padding without
tf.py_func
. Please add some examples for doing these steps for TPU devices so that dumb people like me can understand TF. Will be greatly thankful to everyone at Google.I am following this tutorial.
The text was updated successfully, but these errors were encountered: