Spaces:

---

DeepActionPotential

/

FactSight

like 0

Runtime error

• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "scipy.sparse._csr.csr_matrix",
• "sklearn.pipeline.Pipeline",
• "numpy.int64",
• "numpy.dtype"

How to fix it?

• "timm.models.efficientnet.EfficientNet",
• "torch.nn.modules.conv.Conv2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.activation.SiLU",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "timm.models._efficientnet_blocks.SqueezeExcite",
• "torch.nn.modules.flatten.Flatten",
• "timm.models._efficientnet_blocks.InvertedResidual",
• "torch.FloatStorage",
• "torch.LongStorage",
• "timm.layers.norm_act.BatchNormAct2d",
• "torch.nn.modules.activation.Sigmoid",
• "timm.models._efficientnet_blocks.DepthwiseSeparableConv",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.set",
• "torch._utils._rebuild_parameter"

How to fix it?

• "__builtin__.set",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "__main__.LSTMClassifier",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.rnn.LSTM",
• "collections.OrderedDict",
• "torch.FloatStorage"

How to fix it?