xu1998hz

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sescore2_ja_pretrained

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• "torch.FloatStorage",
• "transformers.models.rembert.modeling_rembert.RemBertSelfAttention",
• "transformers.models.rembert.configuration_rembert.RemBertConfig",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.rembert.modeling_rembert.RemBertModel",
• "torch.LongStorage",
• "transformers.models.rembert.modeling_rembert.RemBertSelfOutput",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "transformers.activations.GELUActivation",
• "__builtin__.set",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "transformers.models.rembert.modeling_rembert.RemBertAttention",
• "torch._utils._rebuild_tensor_v2",
• "train.feedforward.FeedForward",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.rembert.modeling_rembert.RemBertLayer",
• "torch._utils._rebuild_parameter",
• "__main__.Regression_XLM_Roberta",
• "transformers.models.rembert.modeling_rembert.RemBertEncoder",
• "transformers.models.rembert.modeling_rembert.RemBertPooler",
• "torch.nn.functional.gelu",
• "transformers.models.rembert.modeling_rembert.RemBertEmbeddings",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.float32",
• "transformers.models.rembert.modeling_rembert.RemBertOutput",
• "transformers.models.rembert.modeling_rembert.RemBertIntermediate"

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