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quantized-classification-level

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• "torch.qint8",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.models.bert.modeling_bert.BertLayer",
• "torch._utils._rebuild_qtensor",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.bert.modeling_bert.BertOutput",
• "transformers.models.bert.configuration_bert.BertConfig",
• "torch.float32",
• "torch.ScriptObject",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bert.modeling_bert.BertModel",
• "torch.LongStorage",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.FloatStorage",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
• "torch._C._nn.gelu",
• "torch.ao.nn.quantized.dynamic.modules.linear.Linear",
• "transformers.models.bert.modeling_bert.BertForSequenceClassification",
• "collections.OrderedDict",
• "transformers.models.bert.modeling_bert.BertAttention",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "torch._utils._rebuild_parameter",
• "transformers.activations.GELUActivation",
• "torch.per_tensor_affine",
• "torch.QInt8Storage",
• "torch.ao.nn.quantized.modules.linear.LinearPackedParams"

How to fix it?