Fetching metadata from the HF Docker repository... danielhshi8224
standalone cls
e322980 - .gradio Initialize repo
- 1.52 kB initial commit
- 0 Bytes upload model
- 111 MB upload model
- 331 Bytes initial commit
- 13.2 kB standalone cls
- 975 Bytes Initialize repo
- 510 Bytes Initialize repo
- 201 Bytes Initialize repo
- 510 Bytes Initialize repo
- 437 Bytes Initialize repo
- 56 Bytes add object detection
- 314 Bytes hf repo fixed
yolo11_best.pt Detected Pickle imports (29)
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.block.PSABlock",
- "__builtin__.set",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.modules.block.C3k2",
- "ultralytics.nn.modules.conv.DWConv",
- "torch.nn.modules.container.Sequential",
- "torch._utils._rebuild_tensor_v2",
- "torch.HalfStorage",
- "ultralytics.nn.modules.block.C2PSA",
- "torch.FloatStorage",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.upsampling.Upsample",
- "torch._utils._rebuild_parameter",
- "ultralytics.nn.modules.block.DFL",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.nn.tasks.DetectionModel",
- "torch.Size",
- "collections.OrderedDict",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.Attention",
- "torch.LongStorage",
- "ultralytics.nn.modules.head.Detect",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.nn.modules.block.C3k",
- "torch.nn.modules.conv.Conv2d"
How to fix it?
5.47 MB add model