irectly the base class *PreTrainedTokenizerBase* so let's show our examples on a derived class: BertTokenizer
        # Download vocabulary from huggingface.co and cache.
        tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")

        # Download vocabulary from huggingface.co (user-uploaded) and cache.
        tokenizer = BertTokenizer.from_pretrained("dbmdz/bert-base-german-cased")

        # If vocabulary files are in a directory (e.g. tokenizer was saved using *save_pretrained('./test/saved_model/')*)
        tokenizer = BertTokenizer.from_pretrained("./test/saved_model/")

        # If the tokenizer uses a single vocabulary file, you can point directly to this file
        tokenizer = BertTokenizer.from_pretrained("./test/saved_model/my_vocab.txt")

        # You can link tokens to special vocabulary when instantiating
        tokenizer = BertTokenizer.from_pretrained("bert-base-uncased", unk_token="<unk>")
        # You should be sure '<unk>' is in the vocabulary when doing that.
        # Otherwise use tokenizer.add_special_tokens({'unk_token': '<unk>'}) instead)
        assert tokenizer.unk_token == "<unk>"
        ```Úresume_downloadFÚ