GitLab

PiperOrigin-RevId: 359409792

1. Save the BertPretrainerV2 checkpoint using .checkpoint_items in the tf1->tf2 checkpoint converter.

2. In export_tfhub_lib, remove the support of legacy tf2 checkpoint that were converted from tf1 before this commit. The current export_tfhub.py only worked with checkpoint converted after
https://github.com/tensorflow/models/commit/78a367e150f625f1b138c847d49ea51498d5263a

3. Also fix the albert tf1->tf2 checkpoint converter which does not work after the above commit.

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Also improve error message when distribution=off is specified without properly quoting "off"

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It has been replaced by nlp/tools/export_tfhub.

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as open source.

A user guide will follow soon.

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convert Dimension to int to avoid "TypeError: unsupported operand type(s) for /: float and Dimension"

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[core] Use the full model instead of checkpoint_items when constructing Checkpoint in multitask evaluator.

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Add segment_extractor public methods to third_party/tensorflow_models/official/nlp/modeling/ops/__init__.py

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Add back-ticks around code in the docs of nlp modeling library, so that the name will get auto-linked to that api page.

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[core] Update BestCheckpointExporter to support dictionary with arbitrary depth (possibly coming from multitask eval).
Also added best checkpointexporter support to multitask.

PiperOrigin-RevId: 357584596

[core] Update BestCheckpointExporter to support dictionary with arbitrary depth (possibly coming from multitask eval).
Also added best checkpointexporter support to multitask.

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Update the other two colabs customize_encoder.ipynb and nlp_modeling_library_intro.ipynb to use the latest tensorflow models pip package.

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Update the other two colabs customize_encoder.ipynb and nlp_modeling_library_intro.ipynb to use the latest tensorflow models pip package.

PiperOrigin-RevId: 357275077

Update fine_tuning_bert.ipynb colab to use tf-models-official==2.4.0 and use the new checkpoint and tfhub model.

PiperOrigin-RevId: 357219857

Update fine_tuning_bert.ipynb colab to use tf-models-official==2.4.0 and use the new checkpoint and tfhub model.

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