adperem

/

entregable3

like 0

• "pathlib.Path",
• "fastai.learner.AvgLoss",
• "fastai.text.core.replace_all_caps",
• "numpy.core.multiarray._reconstruct",
• "collections.defaultdict",
• "torch.nn.modules.container.ModuleList",
• "torch._tensor._rebuild_from_type_v2",
• "fastcore.xtras.ReindexCollection",
• "fastai.text.models.core.LinearDecoder",
• "fastai.callback.rnn.RNNCallback",
• "fastai.text.data.LMTensorText",
• "fastai.data.load._wif",
• "torch.nn.modules.rnn.LSTM",
• "builtins.str",
• "fastai.torch_core.TensorBase",
• "spacy.util.raise_error",
• "spacy.vectors.unpickle_vectors",
• "fastai.data.transforms.ToTensor",
• "fastai.learner.Recorder",
• "fastai.learner.CastToTensor",
• "fastai.text.learner.LMLearner",
• "spacy.tokenizer.Tokenizer",
• "re._compile",
• "fastai.text.data.Numericalize",
• "fastai.imports.noop",
• "fastai.callback.rnn.ModelResetter",
• "pathlib.PosixPath",
• "fastai.text.core.spec_add_spaces",
• "numpy.ndarray",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "confection.Config",
• "fastai.text.models.awdlstm.awd_lstm_lm_split",
• "inspect._ParameterKind",
• "builtins.tuple",
• "spacy.lang.en.English",
• "collections.OrderedDict",
• "fastai.text.data.LMDataLoader",
• "fastai.text.core.SpacyTokenizer",
• "fastai.text.core.fix_html",
• "inspect.Signature",
• "fastai.text.core.replace_wrep",
• "numpy.core.multiarray.scalar",
• "spacy.vocab.unpickle_vocab",
• "fastai.text.core.replace_maj",
• "builtins.list",
• "builtins.object",
• "builtins.getattr",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.metrics.Perplexity",
• "torch._utils._rebuild_tensor_v2",
• "spacy.lookups.Lookups",
• "fastai.text.core.replace_rep",
• "torch.nn.modules.linear.Linear",
• "builtins.int",
• "spacy.morphology.unpickle_morphology",
• "fastai.data.core.Datasets",
• "torch._utils._rebuild_parameter",
• "fastcore.dispatch.TypeDispatch",
• "spacy.lang.en.syntax_iterators.noun_chunks",
• "fastai.metrics.accuracy",
• "fastai.text.core.Tokenizer",
• "fastai.data.load._FakeLoader",
• "fastai.text.core.rm_useless_spaces",
• "fastai.learner.AvgMetric",
• "fastai.torch_core.Chunks",
• "fastai.text.core.lowercase",
• "fastai.text.data._maybe_first",
• "fastai.text.models.awdlstm.WeightDropout",
• "fastai.text.models.awdlstm.RNNDropout",
• "builtins.print",
• "fastai.text.models.awdlstm.AWD_LSTM",
• "spacy.strings.StringStore",
• "fastai.data.core.TfmdLists",
• "numpy.dtype",
• "fastai.callback.fp16.MixedPrecision",
• "fastai.callback.progress.ProgressCallback",
• "torch.device",
• "inspect.Parameter",
• "fastai.text.models.awdlstm.EmbeddingDropout",
• "fastai.callback.fp16.AMPMode",
• "fastai.text.data.TensorText",
• "random.Random",
• "torch.HalfStorage",
• "fastai.text.models.core.SequentialRNN",
• "torch.FloatStorage",
• "fastcore.transform.Pipeline",
• "fastai.optimizer.Adam",
• "fastai.data.core.DataLoaders",
• "fastai.losses.CrossEntropyLossFlat",
• "inspect._empty",
• "builtins.float",
• "fastcore.transform.Transform",
• "fastai.learner.AvgSmoothLoss",
• "fastcore.dispatch._TypeDict",
• "fastcore.foundation.L",
• "fastcore.imports.noop",
• "torch.nn.modules.sparse.Embedding"

How to fix it?