Hugging Face
Models
Datasets
Spaces
Community
Docs
Enterprise
Pricing
Log In
Sign Up
Spaces:
jamesd22
/
currawong_or_magpie_classifier
like
0
Runtime error
App
Files
Files
Community
Fetching metadata from the HF Docker repository...
main
currawong_or_magpie_classifier
48.9 MB
1 contributor
History:
8 commits
This space has 1 file scanned as unsafe.
Show
files
jamesd22
fix one example filename
c15b415
about 3 years ago
.gitattributes
Safe
1.42 kB
Adding jpg and jfif to LFS tracking to allow the example images to be added
about 3 years ago
README.md
Safe
269 Bytes
initial commit
about 3 years ago
app.py
Safe
733 Bytes
fix one example filename
about 3 years ago
currawong.jfif
484 kB
xet
Add some example inputs to it simple to try the classifier
about 3 years ago
export.pkl
Unsafe
pickle
Detected Pickle imports (78)
"numpy.ndarray"
,
"__builtin__.bytes"
,
"__builtin__.set"
,
"__builtin__.getattr"
,
"fastai.data.load._FakeLoader"
,
"_codecs.encode"
,
"fastai.data.transforms.Categorize"
,
"fastai.data.transforms.ToTensor"
,
"fastai.torch_core.TensorImage"
,
"fastai.vision.augment.RandomResizedCrop"
,
"__builtin__.bool"
,
"__builtin__.float"
,
"torch.nn.modules.activation.ReLU"
,
"fastai.data.transforms.CategoryMap"
,
"fastcore.foundation.L"
,
"fastai.callback.core.TrainEvalCallback"
,
"fastai.torch_core.TensorBase"
,
"fastai.optimizer.Adam"
,
"torch.nn.modules.pooling.AdaptiveMaxPool2d"
,
"fastai.metrics.error_rate"
,
"fastai.imports.noop"
,
"fastai.vision.learner._resnet_split"
,
"fastcore.transform.Transform"
,
"torch.nn.modules.batchnorm.BatchNorm1d"
,
"fastcore.dispatch._TypeDict"
,
"torch.nn.modules.linear.Linear"
,
"fastai.data.core.TfmdLists"
,
"fastai.learner.AvgMetric"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"__builtin__.unicode"
,
"fastcore.dispatch.TypeDispatch"
,
"fastai.learner.AvgLoss"
,
"fastcore.basics.fastuple"
,
"fastai.callback.progress.ProgressCallback"
,
"PIL.Image.Resampling"
,
"fastcore.transform.Pipeline"
,
"pathlib.Path"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"random.Random"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.pooling.AdaptiveAvgPool2d"
,
"fastai.learner.Recorder"
,
"fastai.learner.Learner"
,
"torch.nn.modules.dropout.Dropout"
,
"collections.OrderedDict"
,
"fastai.data.transforms.parent_label"
,
"torch.LongStorage"
,
"fastai.learner.AvgSmoothLoss"
,
"fastai.vision.core.PILImage"
,
"fastai.layers.Flatten"
,
"fastai.losses.CrossEntropyLossFlat"
,
"__builtin__.object"
,
"fastai.data.transforms.IntToFloatTensor"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.loss.CrossEntropyLoss"
,
"numpy.dtype"
,
"fastai.data.transforms.Normalize"
,
"numpy.core.multiarray.scalar"
,
"fastai.torch_core.TensorCategory"
,
"fastai.data.load._wif"
,
"torch._utils._rebuild_parameter"
,
"fastai.torch_core._rebuild_from_type"
,
"torch.device"
,
"torch.Tensor"
,
"fastai.learner.CastToTensor"
,
"fastai.vision.augment.aug_transforms"
,
"torchvision.models.resnet.BasicBlock"
,
"__builtin__.long"
,
"fastai.data.core.DataLoaders"
,
"__builtin__.tuple"
,
"fastai.data.core.Datasets"
,
"torch.nn.modules.conv.Conv2d"
,
"fastai.layers.AdaptiveConcatPool2d"
,
"torchvision.models.resnet.resnet18"
,
"pathlib.PosixPath"
,
"fastai.data.core.TfmdDL"
,
"torch.FloatStorage"
,
"__builtin__.print"
How to fix it?
47 MB
xet
Adding the gradio app, model and requirements for the classifier
about 3 years ago
magpie.jpg
1.42 MB
xet
Add some example inputs to it simple to try the classifier
about 3 years ago
requirements.txt
Safe
20 Bytes
Adding the gradio app, model and requirements for the classifier
about 3 years ago