mrovera

/

eventnet-ita

like 0

• "torch._utils._rebuild_tensor_v2",
• "torch._C._nn.gelu",
• "collections.OrderedDict",
• "transformers.models.bert.modeling_bert.BertModel",
• "torch.nn.modules.linear.Linear",
• "transformers.models.bert.modeling_bert.BertAttention",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.nn.modules.activation.Tanh",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "machamp.metrics.multi_accuracy.MultiAccuracy",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "torch.nn.modules.container.ModuleDict",
• "machamp.metrics.metric.Metric",
• "torch._utils._rebuild_parameter",
• "transformers.models.bert.modeling_bert.BertOutput",
• "machamp.model.machamp.MachampModel",
• "machamp.model.encoder.MachampEncoder",
• "torch.LongStorage",
• "torch.nn.modules.sparse.Embedding",
• "transformers.activations.GELUActivation",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.configuration_bert.BertConfig",
• "torch.nn.modules.normalization.LayerNorm",
• "machamp.model.multiseq_decoder.MachampMultiseqDecoder",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.set",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "machamp.data.machamp_vocabulary.MachampVocabulary",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.models.bert.modeling_bert.BertSelfOutput"

How to fix it?