| from transformers import pipeline | |
| from transformers import AutoModel, AutoTokenizer | |
| prober = pipeline('fill-mask', model="bert-base-cased", top_k=50, framework="pt", batch_size=32) | |
| tokenizer = AutoTokenizer.from_pretrained("bert-base-cased", use_fast=False) | |
| vocab_size = tokenizer.vocab_size | |
| ids2tokens = tokenizer.ids_to_tokens | |
| vocab = tokenizer.vocab # tokens2ids | |
| mask = tokenizer.mask_token | |
| mask_id = vocab[mask] | |
| print() |