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The labels won’t require padding as they are already a consistent 2D array in the text file which will be converted to a 2D Tensor. But Tensorflow does not know it won’t need to pad the labels, so we still need to specify the padded_shape argument: if need be, the Dataset should pad each sample with a 1D Tensor (hence tf.TensorShape ( [None..

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Chapter 2, Fine-Tuning BERT Models; Chapter 3, Pretraining a RoBERTa Model from Scratch; Chapter 4, Downstream NLP Tasks with Transformers; Chapter 5, Machine Translation with the Transformer; Chapter 6. by the T5 model in order to augment it with further data. Seven state-of-the-art transformer-based text classication algo-rithms (BERT, DistilBERT, RoBERTa, DistilRoBERTa, XLM, XLM-RoBERTa.

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