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• "transformers.models.swin.modeling_swin.SwinModel",
• "torch.LongStorage",
• "transformers.models.vision_encoder_decoder.modeling_vision_encoder_decoder.VisionEncoderDecoderModel",
• "torch.nn.modules.container.ModuleList",
• "transformers.activations.GELUActivation",
• "transformers.models.gpt2.modeling_gpt2.GPT2Attention",
• "__builtin__.set",
• "transformers.models.gpt2.modeling_gpt2.GPT2MLP",
• "transformers.pytorch_utils.Conv1D",
• "transformers.models.gpt2.configuration_gpt2.GPT2Config",
• "transformers.models.gpt2.modeling_gpt2.GPT2LMHeadModel",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.swin.modeling_swin.SwinPatchMerging",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage",
• "transformers.models.gpt2.modeling_gpt2.GPT2Block",
• "torch.float32",
• "transformers.activations.NewGELUActivation",
• "transformers.generation.configuration_utils.GenerationConfig",
• "transformers.models.swin.modeling_swin.SwinPatchEmbeddings",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.swin.modeling_swin.SwinSelfOutput",
• "transformers.models.vision_encoder_decoder.configuration_vision_encoder_decoder.VisionEncoderDecoderConfig",
• "torch.nn.modules.linear.Linear",
• "transformers.models.swin.modeling_swin.SwinIntermediate",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.AdaptiveAvgPool1d",
• "transformers.models.swin.modeling_swin.SwinStage",
• "transformers.models.gpt2.modeling_gpt2.GPT2Model",
• "transformers.models.swin.modeling_swin.SwinLayer",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.swin.modeling_swin.SwinEmbeddings",
• "transformers.models.swin.modeling_swin.SwinEncoder",
• "torch._C._nn.gelu",
• "transformers.models.swin.modeling_swin.SwinOutput",
• "transformers.models.swin.modeling_swin.SwinDropPath",
• "torch.BoolStorage",
• "transformers.models.swin.configuration_swin.SwinConfig",
• "transformers.models.swin.modeling_swin.SwinSelfAttention",
• "transformers.models.swin.modeling_swin.SwinAttention",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict"

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