tf_save_directory = "./tf_save_pretrained"
tokenizer.save_pretrained(tf_save_directory)  # doctest: +IGNORE_RESULT
tf_model.save_pretrained(tf_save_directory)

When you are ready to use the model again, reload it with [TFPreTrainedModel.from_pretrained]:

tf_model = TFAutoModelForSequenceClassification.from_pretrained("./tf_save_pretrained")