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nlp_course_hw_style_transfer

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Runtime error

• "transformers.models.bert.modeling_bert.BertEncoder",
• "transformers.models.bert.tokenization_bert.WordpieceTokenizer",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "__builtin__.set",
• "transformers.models.bert.modeling_bert.BertPredictionHeadTransform",
• "torch.nn.modules.activation.Tanh",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.functional.gelu",
• "transformers.models.bert.modeling_bert.BertPooler",
• "transformers.tokenization_utils.Trie",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.LongStorage",
• "transformers.models.bert.modeling_bert.BertLMPredictionHead",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "transformers.models.bert.modeling_bert.BertForMaskedLM",
• "transformers.models.bert.tokenization_bert.BasicTokenizer",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.bert.modeling_bert.BertOutput",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.bert.modeling_bert.BertOnlyMLMHead",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.configuration_bert.BertConfig",
• "torch._utils._rebuild_parameter",
• "transformers.models.bert.tokenization_bert.BertTokenizer",
• "transformers.models.bert.modeling_bert.BertAttention",
• "torch.nn.modules.linear.Linear",
• "transformers.models.bert.modeling_bert.BertForSequenceClassification",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "transformers.models.bert.modeling_bert.BertModel"

How to fix it?