Fetching metadata from the HF Docker repository...
Upload requirements.txt
0cf8b1c
verified
-
1.52 kB
initial commit
-
337 Bytes
initial commit
-
3.3 kB
app.py
model_resultsconvnext_large.pkl
Detected Pickle imports (20)
- "timm.layers.mlp.Mlp",
- "torch.nn.modules.dropout.Dropout",
- "torch._utils._rebuild_parameter",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.linear.Identity",
- "collections.OrderedDict",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.linear.Linear",
- "timm.layers.classifier.NormMlpClassifierHead",
- "timm.models.convnext.ConvNeXtStage",
- "timm.layers.activations.GELU",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "timm.models.convnext.ConvNeXtBlock",
- "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "torch.nn.modules.flatten.Flatten",
- "timm.layers.norm.LayerNorm2d",
- "timm.layers.norm.LayerNorm",
- "timm.models.convnext.ConvNeXt"
How to fix it?
785 MB
uplaod trained model
-
2.53 kB
Upload requirements.txt