runtime error

��██▌| 419M/440M [00:05<00:00, 83.1MB/s] Downloading (…)d20e772753c6bb9169d3: 100%|█████████▉| 440M/440M [00:05<00:00, 101MB/s] Downloading (…)d20e772753c6bb9169d3: 100%|██████████| 440M/440M [00:05<00:00, 80.3MB/s] Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.seq_relationship.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.bias', 'cls.predictions.bias'] - This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Downloading (…)solve/main/vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s] Downloading (…)solve/main/vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 62.5MB/s] Downloading (…)okenizer_config.json: 0%| | 0.00/28.0 [00:00<?, ?B/s] Downloading (…)okenizer_config.json: 100%|██████████| 28.0/28.0 [00:00<00:00, 283kB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 20, in <module> attention_mask = tokenizer.create_attention_mask(input_ids) AttributeError: 'BertTokenizer' object has no attribute 'create_attention_mask'

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