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espejelomar
/
fastai_model
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fastai
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fastai_model
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.gitattributes
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README.md
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model.pkl
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pickle
Detected Pickle imports (67)
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"fastai.imports.noop"
,
"fastai.optimizer.Adam"
,
"fastcore.transform.Pipeline"
,
"fastai.learner.AvgMetric"
,
"torch.FloatStorage"
,
"fastai.learner.Learner"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"fastai.torch_core.TensorImage"
,
"torch.nn.modules.pooling.AdaptiveMaxPool2d"
,
"fastai.callback.core.TrainEvalCallback"
,
"fastai.data.transforms.CategoryMap"
,
"fastcore.dispatch.TypeDispatch"
,
"torch.nn.functional.cross_entropy"
,
"torch.nn.modules.dropout.Dropout"
,
"torch.nn.modules.conv.Conv2d"
,
"fastai.torch_core._rebuild_from_type"
,
"fastai.learner.Recorder"
,
"fastcore.transform.Transform"
,
"builtins.getattr"
,
"builtins.str"
,
"torch.LongStorage"
,
"fastcore.foundation.L"
,
"torch.nn.modules.container.Sequential"
,
"fastai.vision.core.PILImage"
,
"builtins.set"
,
"fastai.data.transforms.parent_label"
,
"numpy.ndarray"
,
"fastai.data.transforms.IntToFloatTensor"
,
"fastai.vision.learner._resnet_split"
,
"fastai.data.core.DataLoaders"
,
"fastai.torch_core.TensorBase"
,
"fastai.data.core.Datasets"
,
"torch.nn.modules.linear.Linear"
,
"collections.OrderedDict"
,
"torch.nn.modules.activation.ReLU"
,
"fastai.metrics.accuracy"
,
"pathlib.Path"
,
"fastai.callback.progress.ProgressCallback"
,
"fastai.learner.AvgLoss"
,
"numpy.dtype"
,
"fastai.data.core.TfmdDL"
,
"fastai.data.load._FakeLoader"
,
"torchvision.models.resnet.resnet18"
,
"fastai.learner.AvgSmoothLoss"
,
"torch._utils._rebuild_parameter"
,
"fastai.layers.Flatten"
,
"fastcore.dispatch._TypeDict"
,
"pathlib.PosixPath"
,
"random.Random"
,
"fastai.data.load._wif"
,
"fastai.layers.AdaptiveConcatPool2d"
,
"fastai.torch_core.TensorCategory"
,
"torch.nn.modules.batchnorm.BatchNorm1d"
,
"torch.nn.modules.pooling.AdaptiveAvgPool2d"
,
"numpy.core.multiarray.scalar"
,
"builtins.object"
,
"builtins.print"
,
"fastai.data.transforms.Categorize"
,
"torch.Tensor"
,
"fastai.data.core.TfmdLists"
,
"fastai.data.transforms.ToTensor"
,
"torch.device"
,
"builtins.tuple"
,
"torchvision.models.resnet.BasicBlock"
,
"torch._utils._rebuild_tensor_v2"
,
"builtins.bytes"
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pyproject.toml
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