error

# эта часть кода падает с ошибкой
tokenizer = transformers.BertTokenizer(
    vocab_file='/datasets/ds_bert/vocab.txt')

tokenized = df_tweets['text'].apply(
    lambda x: tokenizer.encode(x, add_special_tokens=True))

max_len = 0
for i in tokenized.values:
    if len(i) > max_len:
        max_len = len(i)

padded = np.array([i + [0]*(max_len - len(i)) for i in tokenized.values])

attention_mask = np.where(padded != 0, 1, 0)


# ошибка
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_1272/3208287495.py in <module>
----> 1 tokenizer = transformers.BertTokenizer(
      2     vocab_file='/datasets/ds_bert/vocab.txt')
      3
      4 tokenized = df_tweets['text'].apply(
      5     lambda x: tokenizer.encode(x, add_special_tokens=True))

C:\work\practicum\practicum_env\lib\site-packages\transformers\models\bert\tokenization_bert.py in __init__(self, vocab_file, do_lower_case, do_basic_tokenize, never_split, unk_token, sep_token, pad_token, cls_token, mask_token, tokenize_chinese_chars, strip_accents, **kwargs)
    192
    193         if not os.path.isfile(vocab_file):
--> 194             raise ValueError(
    195                 f"Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained "
    196                 "model use `tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"

ValueError: Can't find a vocabulary file at path '/datasets/ds_bert/vocab.txt'. To load the vocabulary from a Google pretrained model use `tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`