Aslida, faqatgina jumlalarni o'z ichiga olgan `BertModel` sinfi bilan bunday qilish mumkin emas. HuggingFace BERTni niqobli so'zlarni bashorat qilish uchun `pipeline` moduli orqali ishlatishni tavsiya qiladi: ```python from transformers import pipeline unmasker = pipeline (('fill-mask', model='bert-base-uncased') printunmasker ((("Qasos olish eng yaxshi ovqatdir [MASK]. ")) # [ # {'score': 0.3299422264099121, 'token': 3147, 'token_str': 'cold','sequence':'revenge is a best cold dish served.'}, #'score': 0.079073028375992, 'token': 1935_0, 'token': 'outs
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence