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ferrygun/ner_11.py

Last active June 11, 2020 01:51
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ner_11.py
i = 1586
p = model.predict(np.array([X_test[i]]))
p = np.argmax(p, axis=-1)
print("{:15} {:5}".format("Word", "Pred"))
for w, pred in zip(X_test[i], p[0]):
print("{:15}: {}".format(words[w], tags[pred]))
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