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JonathonCwik
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SmileOrFrown
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SmileOrFrown
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Jonathon Cwik
bleh
35b50a8
almost 2 years ago
.gitattributes
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1.48 kB
initial commit
almost 2 years ago
.gitignore
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8 Bytes
upload
almost 2 years ago
README.md
Safe
250 Bytes
initial commit
almost 2 years ago
app.py
Safe
646 Bytes
add timm
almost 2 years ago
model.pkl
Unsafe
pickle
Detected Pickle imports (88)
"torch.nn.modules.container.Sequential"
,
"timm.models.convnext.ConvNeXt"
,
"timm.models.convnext.ConvNeXtStage"
,
"inspect.Parameter"
,
"fastai.vision.learner.default_split"
,
"torch.nn.modules.pooling.AdaptiveAvgPool2d"
,
"inspect.Signature"
,
"fastai.data.load._wif"
,
"torch.nn.modules.flatten.Flatten"
,
"fastai.torch_core.TensorBase"
,
"fastai.data.core.TfmdLists"
,
"fastai.data.transforms.Categorize"
,
"torch.nn.modules.loss.CrossEntropyLoss"
,
"fastcore.dispatch._TypeDict"
,
"timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d"
,
"fastai.learner.CastToTensor"
,
"fastai.torch_core.TensorCategory"
,
"fastai.data.core.Datasets"
,
"fastai.torch_core.TensorImage"
,
"fastai.losses.CrossEntropyLossFlat"
,
"fastcore.foundation.L"
,
"torch.nn.modules.linear.Identity"
,
"__builtin__.tuple"
,
"PIL.Image.Resampling"
,
"fastai.data.transforms.ToTensor"
,
"fastai.callback.core.TrainEvalCallback"
,
"_codecs.encode"
,
"inspect._ParameterKind"
,
"fastcore.basics.fastuple"
,
"torch._utils._rebuild_parameter"
,
"numpy.dtype"
,
"__builtin__.print"
,
"collections.OrderedDict"
,
"torch.LongStorage"
,
"torch.nn.modules.batchnorm.BatchNorm1d"
,
"torch.device"
,
"fastcore.dispatch.TypeDispatch"
,
"fastcore.transform.Transform"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.linear.Linear"
,
"fastai.learner.AvgSmoothLoss"
,
"__builtin__.unicode"
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"fastai.torch_core._rebuild_from_type"
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"fastai.vision.augment.Resize"
,
"fastai.data.load._FakeLoader"
,
"fastai.vision.core.PILImage"
,
"torch.Tensor"
,
"timm.models.layers.norm.LayerNorm2d"
,
"__builtin__.object"
,
"torch.nn.modules.pooling.AdaptiveMaxPool2d"
,
"__builtin__.float"
,
"pathlib.WindowsPath"
,
"fastcore.transform.Pipeline"
,
"fastai.learner.AvgLoss"
,
"fastai.metrics.error_rate"
,
"numpy.ndarray"
,
"fastai.data.transforms.parent_label"
,
"torch.nn.modules.dropout.Dropout"
,
"timm.models.layers.activations.GELU"
,
"fastai.layers.AdaptiveConcatPool2d"
,
"fastai.layers.Flatten"
,
"torch.nn.modules.activation.ReLU"
,
"timm.models.convnext.ConvNeXtBlock"
,
"fastai.data.core.DataLoaders"
,
"fastai.data.transforms.IntToFloatTensor"
,
"fastai.data.transforms.Normalize"
,
"torch.nn.modules.conv.Conv2d"
,
"timm.models.layers.norm.LayerNorm"
,
"fastai.learner.AvgMetric"
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"__builtin__.set"
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"timm.models.layers.mlp.Mlp"
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"fastai.learner.Learner"
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"fastai.data.core.TfmdDL"
,
"fastai.data.transforms.Category"
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"__builtin__.bytes"
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"fastai.data.transforms.CategoryMap"
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"inspect._empty"
,
"fastai.vision.learner.TimmBody"
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"numpy.core.multiarray.scalar"
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"__builtin__.long"
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"fastai.optimizer.Adam"
,
"__builtin__.getattr"
,
"fastai.imports.noop"
,
"random.Random"
,
"fastai.callback.progress.ProgressCallback"
,
"pathlib.Path"
,
"fastai.learner.Recorder"
,
"torch.FloatStorage"
How to fix it?
355 MB
LFS
updated model using convnext
almost 2 years ago
requirements.txt
Safe
44 Bytes
bleh
almost 2 years ago