forked from kubapok/en-ner-conll-2003
added view of tags and tokens
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@ -54,6 +54,9 @@ vocab = build_vocab(tokens)
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train_labels = labels_process(tags)
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train_tokens_ids = data_process(tokens)
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print(train_labels[0][:10])
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print(train_tokens_ids[0][:10])
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ner_model = NERModel()
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nn_model = NeuralNetworkModel(len(train_tokens_ids))
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criterion = torch.nn.CrossEntropyLoss()
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