Spaces:

---

AlvearVanessa

/

Practica7

like 0

Runtime error

• "__builtin__.set",
• "__builtin__.getattr",
• "fastai.data.load._FakeLoader",
• "fastai.text.core.replace_all_caps",
• "_codecs.encode",
• "spacy.vectors.unpickle_vectors",
• "collections.defaultdict",
• "fastai.text.models.core.SentenceEncoder",
• "pandas.core.series.Series",
• "fastai.data.transforms.Categorize",
• "fastai.text.core.rm_useless_spaces",
• "fastai.data.transforms.ToTensor",
• "fastai.metrics.accuracy",
• "fastai.text.data.Pad_Chunk",
• "spacy.morphology.Morphology",
• "__builtin__.float",
• "torch.nn.modules.activation.ReLU",
• "spacy.lemmatizer.Lemmatizer",
• "fastai.data.transforms.CategoryMap",
• "fastai.text.data.SortedDL",
• "fastai.callback.rnn.ModelResetter",
• "fastai.text.models.awdlstm.awd_lstm_clas_split",
• "fastai.text.models.awdlstm.RNNDropout",
• "fastcore.foundation.L",
• "fastai.text.core.lowercase",
• "fastai.layers.LinBnDrop",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.data.transforms.ColReader",
• "spacy.vocab.unpickle_vocab",
• "fastai.torch_core.TensorBase",
• "fastai.text.core.replace_maj",
• "fastai.text.learner.TextLearner",
• "collections.Counter",
• "fastai.optimizer.Adam",
• "fastai.text.core.Tokenizer",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "fastai.text.data.Numericalize",
• "torch.nn.modules.linear.Linear",
• "fastai.text.core.fix_html",
• "fastai.text.core.replace_rep",
• "fastai.text.models.awdlstm.AWD_LSTM",
• "fastai.data.core.TfmdLists",
• "fastai.callback.progress.ShowGraphCallback",
• "fastai.text.core.replace_wrep",
• "fastai.text.models.awdlstm.WeightDropout",
• "fastai.learner.AvgMetric",
• "__builtin__.unicode",
• "fastai.learner.AvgLoss",
• "fastai.callback.progress.ProgressCallback",
• "fastai.callback.rnn.RNNCallback",
• "fastcore.transform.Pipeline",
• "fastai.text.data._default_sort",
• "pathlib.Path",
• "__builtin__.list",
• "random.Random",
• "torch.nn.modules.container.Sequential",
• "fastai.learner.Recorder",
• "torch.nn.modules.rnn.LSTM",
• "torch.HalfStorage",
• "torch.nn.modules.dropout.Dropout",
• "spacy.strings.StringStore",
• "collections.OrderedDict",
• "torch.nn.modules.sparse.Embedding",
• "numpy.less",
• "torch.LongStorage",
• "fastai.learner.AvgSmoothLoss",
• "fastai.text.core.spec_add_spaces",
• "fastai.text.models.core.SequentialRNN",
• "fastai.losses.CrossEntropyLossFlat",
• "spacy.lang.en.English",
• "torch._utils._rebuild_tensor_v2",
• "numpy.int64",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "spacy.lookups.Lookups",
• "numpy.dtype",
• "numpy.core.multiarray.scalar",
• "fastai.text.data.TensorText",
• "fastai.torch_core.TensorCategory",
• "fastai.text.models.awdlstm.EmbeddingDropout",
• "fastai.text.core.SpacyTokenizer",
• "fastai.data.load._wif",
• "torch._utils._rebuild_parameter",
• "fastai.torch_core._rebuild_from_type",
• "torch.device",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.long",
• "fastai.data.core.DataLoaders",
• "spacy.tokenizer.Tokenizer",
• "__builtin__.tuple",
• "fastai.text.models.core.PoolingLinearClassifier",
• "fastai.data.core.Datasets",
• "fastai.callback.tracker.SaveModelCallback",
• "re._compile",
• "pathlib.PosixPath",
• "torch.FloatStorage",
• "__builtin__.print"

How to fix it?