Created
June 8, 2020 04:10
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| combined_texts = [query_1, *bing_search_results, query_2, *google_search_results] | |
| tokeniser = tf.keras.preprocessing.text.Tokenizer() | |
| tokeniser.fit_on_texts(combined_texts) | |
| # we add one here to account for the padding word | |
| vocab_size = max(tokeniser.index_word) + 1 | |
| print(vocab_size) |
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