zer.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")
        model = Wav2Vec2PhonemeForCTC.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

        num_added_toks = tokenizer.add_tokens(["new_tok1", "my_new-tok2"])
        print("We have added", num_added_toks, "tokens")
        # Note: resize_token_embeddings expects to receive the full size of the new vocabulary, i.e. the length of the tokenizer.
        model.resize_token_embeddings(len(tokenizer))
        ```c