Fetching metadata from the HF Docker repository... 
Update app.py
2050850 verified - __pycache__ typos
- 1.52 kB initial commit
- 527 Bytes Docker file updated again
- 8.49 kB receiving an image and predicting it
- 7.29 kB receiving an image and predicting it
- 201 Bytes Update README.md (#1)
- 1.54 kB Update app.py
model.pth Detected Pickle imports (4)
- "torch.LongStorage",
- "collections.OrderedDict",
- "torch.FloatStorage",
- "torch._utils._rebuild_tensor_v2"
What is a pickle import?
123 MB Upload model.pth - 123 MB receiving an image and predicting it
- 330 Bytes requirements missing analytics library
yolov8n.pt Detected Pickle imports (23)
- "ultralytics.nn.modules.conv.Concat",
- "collections.OrderedDict",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.tasks.DetectionModel",
- "torch._utils._rebuild_tensor_v2",
- "__builtin__.set",
- "ultralytics.nn.modules.block.DFL",
- "torch.Size",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.head.Detect",
- "torch._utils._rebuild_parameter",
- "ultralytics.nn.modules.block.C2f",
- "torch.nn.modules.upsampling.Upsample",
- "torch.HalfStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.FloatStorage",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.LongStorage"
How to fix it?
6.55 MB receiving an image and predicting it
