Looking at sequence length based on num_words parameter

text_sequencing.py

from tensorflow.keras.preprocessing.text import Tokenizer

#Let's add custom sentences 
sentences = [
    "One plus one is two!",
    "Two plus two is four!"
]

#most frequent words
for num_w in range(1,8):
    myTokenizer = Tokenizer(num_words=num_w)
    myTokenizer.fit_on_texts(sentences)
    print(num_w,": ",myTokenizer.texts_to_sequences(sentences))