Yoane

/

pretrained_table_transformer

like 0

• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerAttention",
• "timm.models.features.FeatureListNet",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerDecoderLayer",
• "torch.nn.modules.linear.Identity",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerModel",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerSinePositionEmbedding",
• "torch.nn.modules.container.ModuleList",
• "timm.models.features.FeatureInfo",
• "timm.models.resnet.BasicBlock",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerEncoder",
• "transformers.models.table_transformer.configuration_table_transformer.TableTransformerConfig",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerDecoder",
• "torch.nn.modules.conv.Conv2d",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerFrozenBatchNorm2d",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerTimmConvEncoder",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerConvModel",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.table_transformer.modeling_table_transformer.TableTransformerEncoderLayer",
• "torch.float32",
• "collections.OrderedDict"

How to fix it?