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• "transformers.models.vit.modeling_vit.ViTIntermediate",
• "transformers.models.t5.modeling_t5.T5LayerCrossAttention",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.vit.modeling_vit.ViTSelfOutput",
• "transformers.models.vit.configuration_vit.ViTConfig",
• "__main__.EncoderDecoder",
• "torch._C._nn.gelu",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.t5.modeling_t5.T5Stack",
• "torch.nn.modules.conv.Conv2d",
• "transformers.models.t5.modeling_t5.T5LayerSelfAttention",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.vit.modeling_vit.ViTEmbeddings",
• "transformers.models.t5.modeling_t5.T5LayerNorm",
• "torch.nn.modules.linear.Linear",
• "transformers.models.vit.modeling_vit.ViTModel",
• "transformers.models.vit.modeling_vit.ViTLayer",
• "torch.nn.modules.activation.Tanh",
• "transformers.models.t5.modeling_t5.T5DenseActDense",
• "__main__.Decoder",
• "torch.nn.modules.activation.ReLU",
• "transformers.models.vit.modeling_vit.ViTPooler",
• "transformers.models.t5.modeling_t5.T5Block",
• "torch._utils._rebuild_parameter",
• "transformers.models.t5.modeling_t5.T5LayerFF",
• "transformers.models.t5.modeling_t5.T5ForConditionalGeneration",
• "transformers.models.t5.modeling_t5.T5Attention",
• "transformers.models.vit.modeling_vit.ViTOutput",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.t5.configuration_t5.T5Config",
• "transformers.models.vit.modeling_vit.ViTAttention",
• "torch.nn.modules.sparse.Embedding",
• "__builtin__.set",
• "transformers.models.vit.modeling_vit.ViTPatchEmbeddings",
• "__main__.Encoder",
• "torch.FloatStorage",
• "transformers.models.vit.modeling_vit.ViTSelfAttention",
• "transformers.activations.GELUActivation",
• "transformers.generation.configuration_utils.GenerationConfig",
• "transformers.models.vit.modeling_vit.ViTEncoder"

How to fix it?