Samaskandan

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fake_news_detection

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• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "transformers.tokenization_utils.Trie",
• "dill._dill._create_type",
• "transformers.models.bert.tokenization_bert.BertTokenizer",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "torch.nn.modules.rnn.LSTM",
• "tokenizers.AddedToken",
• "dill._dill._create_function",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "torch.storage._load_from_bytes",
• "__builtin__.__main__",
• "shap.maskers._text.Text",
• "dill._dill._create_cell",
• "dill._dill._create_code",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bert.tokenization_bert.WordpieceTokenizer",
• "torch.nn.modules.linear.Linear",
• "numba.core.serialize._unpickle__CustomPickled",
• "transformers.models.bert.modeling_bert.BertOutput",
• "transformers.models.bert.modeling_bert.BertLayer",
• "torch.nn.modules.activation.Tanh",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
• "transformers.models.bert.modeling_bert.BertModel",
• "shap.explainers._partition.PartitionExplainer",
• "transformers.activations.GELUActivation",
• "collections.OrderedDict",
• "torch.nn.modules.module.Module",
• "torch.nn.modules.dropout.Dropout",
• "builtins.getattr",
• "torch.nn.modules.normalization.LayerNorm",
• "dill._dill._load_type",
• "transformers.models.bert.modeling_bert.BertAttention",
• "torch._C._nn.gelu",
• "torch._utils._rebuild_parameter",
• "transformers.models.bert.configuration_bert.BertConfig",
• "numba.core.serialize.custom_rebuild",
• "dill._dill",
• "shap.models._model.Model",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.bert.tokenization_bert.BasicTokenizer",
• "builtins.setattr",
• "transformers.models.bert.modeling_bert.BertPooler"

How to fix it?