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lhollard
/
leyolo-nano
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0
Object Detection
Transformers
PyTorch
Safetensors
model_hub_mixin
pytorch_model_hub_mixin
Inference Endpoints
arxiv:
2406.14239
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83b68a0
leyolo-nano
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README.md
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config.json
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model.safetensors
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pytorch_model.bin
pickle
Detected Pickle imports (29)
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
,
"torch.nn.modules.container.Sequential"
,
"ultralytics.nn.modules.block.MobileNetV3_BLOCK"
,
"torch.nn.modules.loss.BCEWithLogitsLoss"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.nn.modules.activation.SiLU"
,
"torch._utils._rebuild_parameter"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.HalfStorage"
,
"torch.device"
,
"torch.FloatStorage"
,
"ultralytics.nn.modules.conv.Concat"
,
"ultralytics.utils.IterableSimpleNamespace"
,
"ultralytics.nn.modules.block.DFL"
,
"ultralytics.nn.modules.block.SPPF"
,
"torch.nn.modules.upsampling.Upsample"
,
"ultralytics.nn.modules.head.Detect"
,
"torch.nn.modules.container.ModuleList"
,
"torch.Size"
,
"ultralytics.nn.tasks.DetectionModel"
,
"ultralytics.nn.modules.conv.mn_conv"
,
"__builtin__.set"
,
"ultralytics.utils.loss.v8DetectionLoss"
,
"ultralytics.utils.loss.BboxLoss"
,
"ultralytics.utils.tal.TaskAlignedAssigner"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.LongStorage"
How to fix it?
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