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ALBERT model Pretraining and Fine Tuning using TF2.0

Results 24 ALBERT-TF2.0 issues
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@kamalkraj Thank you for giving clear instructions with respect to SQuAD which wasn't available in the main repo With the following parameters: ``` run_squad.py --mode=predict \ --albert_config_file=../albert_base_resources/config.json \ --model_dir=../albert_base_resources/ \...

It might be nice to, as a final step, show an instance of an actual inference on the model so a reader can "tie it all together". It isn't strictly...

I am new to TF 2.0, I tried to save model by " tf.saved_model.save(squad_m......", but always get errors, such as: " start_positions = inputs["start_positions"] KeyError: 'start_positions'". I am guessing this...

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 2.0.0 to 2.12.0. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.12.0 Release 2.12.0 TensorFlow Breaking Changes Build, Compilation and Packaging Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These...

dependencies