The workflow uses enhanced version that includes Portuguese texts. English data is taken from here: https://www.kaggle.com/danofer/dbpedia-classes The workflow show how to use BERT extension for Knime by Redfield to train models for text classification. Required Python packages (need to be available in your TensorFlow 2 Python environment): bert==2.2.0 bert-for-tf2==0.14.4 Keras-Preprocessing==1.1.2 numpy==1.19.1 pandas==0.23.4 pyarrow==0.11.1 tensorboard==2.2.2 tensorboard-plugin-wit==1.7.0 tensorflow==2.2.0 tensorflow-estimator==2.2.0 tensorflow-hub==0.8.0 tokenizers==0.7.0 tqdm==4.48.0 transformers==3.0.2
Used extensions & nodes
Created with KNIME Analytics Platform version 4.2.3
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