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Upload inference.py
model_adventurous.pth
Detected Pickle imports (22)
- "timm.models._efficientnet_blocks.EdgeResidual",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "timm.models.efficientnet.EfficientNet",
- "timm.layers.conv2d_same.Conv2dSame",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.container.Sequential",
- "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "timm.layers.norm_act.BatchNormAct2d",
- "__builtin__.set",
- "timm.models._efficientnet_blocks.ConvBnAct",
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "timm.models._efficientnet_blocks.SqueezeExcite",
- "torch.nn.modules.activation.Sigmoid",
- "collections.OrderedDict",
- "torch.nn.modules.flatten.Flatten",
- "torch.nn.modules.conv.Conv2d",
- "torch.FloatStorage",
- "timm.models._efficientnet_blocks.InvertedResidual",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.activation.SiLU"
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model_balanced.pth
Detected Pickle imports (22)
- "timm.models._efficientnet_blocks.EdgeResidual",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "timm.models.efficientnet.EfficientNet",
- "timm.layers.conv2d_same.Conv2dSame",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.container.Sequential",
- "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "timm.layers.norm_act.BatchNormAct2d",
- "__builtin__.set",
- "timm.models._efficientnet_blocks.ConvBnAct",
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "timm.models._efficientnet_blocks.SqueezeExcite",
- "torch.nn.modules.activation.Sigmoid",
- "collections.OrderedDict",
- "torch.nn.modules.flatten.Flatten",
- "torch.nn.modules.conv.Conv2d",
- "torch.FloatStorage",
- "timm.models._efficientnet_blocks.InvertedResidual",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.activation.SiLU"
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254 MB
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model_conservative.pth
Detected Pickle imports (22)
- "timm.models._efficientnet_blocks.EdgeResidual",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "timm.models.efficientnet.EfficientNet",
- "timm.layers.conv2d_same.Conv2dSame",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.container.Sequential",
- "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "timm.layers.norm_act.BatchNormAct2d",
- "__builtin__.set",
- "timm.models._efficientnet_blocks.ConvBnAct",
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "timm.models._efficientnet_blocks.SqueezeExcite",
- "torch.nn.modules.activation.Sigmoid",
- "collections.OrderedDict",
- "torch.nn.modules.flatten.Flatten",
- "torch.nn.modules.conv.Conv2d",
- "torch.FloatStorage",
- "timm.models._efficientnet_blocks.InvertedResidual",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.activation.SiLU"
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254 MB
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model_mix_step42000.pth
Detected Pickle imports (22)
- "torch._utils._rebuild_parameter",
- "timm.models._efficientnet_blocks.InvertedResidual",
- "timm.models.efficientnet.EfficientNet",
- "torch.LongStorage",
- "timm.models._efficientnet_blocks.SqueezeExcite",
- "torch.nn.modules.flatten.Flatten",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "timm.layers.norm_act.BatchNormAct2d",
- "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "timm.models._efficientnet_blocks.ConvBnAct",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.linear.Linear",
- "timm.models._efficientnet_blocks.EdgeResidual",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.activation.Sigmoid",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "__builtin__.set",
- "timm.layers.conv2d_same.Conv2dSame",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.activation.SiLU"
How to fix it?
254 MB
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