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

pt_model = AutoModelForSequenceClassification.from_pretrained("./pt_save_pretrained")
``
</pt>
<tf>
Once your model is fine-tuned, you can save it with its tokenizer using [TFPreTrainedModel.save_pretrained`]:

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