def data_loader(self, sentences, shuffle=False):
dataset = BertEmbeddingDataset(sentences, self.transform)<EOL>return DataLoader(dataset=dataset, batch_size=self.batch_size, shuffle=shuffle)<EOL>
Load, tokenize and prepare the input sentences.