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Digit_Recognition

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Runtime error

• "fastai.metrics.accuracy",
• "collections.OrderedDict",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "fastai.vision.image.Image",
• "torch.nn.modules.linear.Identity",
• "fastai.vision.transform._crop_pad",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "__builtin__.set",
• "fastai.vision.data.ImageList",
• "fastai.data_block.CategoryList",
• "timm.models.nfnet.NormFreeBlock",
• "__main__.NFNetModel",
• "timm.models.layers.activations.Sigmoid",
• "fastai.vision.image.RandTransform",
• "fastai.vision.image.TfmCrop",
• "fastai.data_block.CategoryProcessor",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.conv.Conv2d",
• "timm.models.layers.se.SEModule",
• "torch.optim.adam.Adam",
• "fastai.torch_core.uniform",
• "timm.models.nfnet.DownsampleAvg",
• "functools.partial",
• "__builtin__.long",
• "timm.models.layers.std_conv.ScaledStdConv2d",
• "timm.models.layers.classifier.ClassifierHead",
• "torch._utils._rebuild_parameter",
• "fastai.layers.FlattenedLoss",
• "timm.models.nfnet.NormFreeNet",
• "fastai.basic_train.Recorder",
• "fastai.basic_train.Learner",
• "torch.nn.modules.pooling.AvgPool2d",
• "torch.FloatStorage",
• "timm.models.layers.activations.GELU"

How to fix it?