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rajeshradhakrishnan
/
ml-news-classify-fastai
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2
fastai
arxiv:
2005.00085
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ml-news-classify-fastai
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rajeshradhakrishnan
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model.pkl
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pickle
Detected Pickle imports (81)
"blurr.text.modeling.core.BlearnerForSequenceClassification"
,
"torch.nn.modules.sparse.Embedding"
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"blurr.text.modeling.core.blurr_splitter"
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"transformers.models.roberta.modeling_roberta.RobertaOutput"
,
"fastai.metrics.accuracy_multi"
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"torch.nn.modules.normalization.LayerNorm"
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"fastai.learner.Recorder"
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"pathlib.PosixPath"
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"collections.OrderedDict"
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"fastcore.foundation.L"
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"builtins.object"
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"blurr.text.data.core.TextInput"
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"pandas.core.series.Series"
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"builtins.getattr"
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"fastai.torch_core.TensorMultiCategory"
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"fastai.torch_core._rebuild_from_type"
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"fastai.data.core.Datasets"
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"torch.nn.modules.loss.BCEWithLogitsLoss"
,
"fastai.learner.AvgSmoothLoss"
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"blurr.text.modeling.core.BaseModelCallback"
,
"transformers.models.roberta.modeling_roberta.RobertaIntermediate"
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"tokenizers.models.Model"
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"blurr.text.modeling.core.BaseModelWrapper"
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"fastai.data.load._FakeLoader"
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"builtins.list"
,
"builtins.print"
,
"transformers.models.roberta.modeling_roberta.RobertaClassificationHead"
,
"fastai.text.data._default_sort"
,
"sklearn.metrics._classification.f1_score"
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"torch.BoolStorage"
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"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaForSequenceClassification"
,
"torch.nn.modules.linear.Linear"
,
"fastai.callback.core.TrainEvalCallback"
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"random.Random"
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"builtins.tuple"
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"tokenizers.Tokenizer"
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"torch.nn.modules.dropout.Dropout"
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"fastcore.transform.Pipeline"
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"numpy.core.multiarray.scalar"
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"transformers.activations.GELUActivation"
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"transformers.models.roberta.modeling_roberta.RobertaEmbeddings"
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"blurr.utils.PreCalculatedBCELoss"
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"builtins.dict"
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"fastai.torch_core.TensorBase"
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"transformers.models.roberta.modeling_roberta.RobertaSelfOutput"
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"fastai.optimizer.Adam"
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"transformers.models.roberta.modeling_roberta.RobertaModel"
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"torch._utils._rebuild_tensor_v2"
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"fastcore.dispatch.TypeDispatch"
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"fastai.text.data.SortedDL"
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"transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig"
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"fastai.data.transforms.EncodedMultiCategorize"
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"blurr.text.data.core.BatchTokenizeTransform"
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"transformers.models.roberta.modeling_roberta.RobertaAttention"
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"builtins.str"
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"fastai.metrics.AccumMetric"
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"fastai.callback.progress.ProgressCallback"
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"transformers.models.roberta.modeling_roberta.RobertaEncoder"
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"transformers.models.roberta.modeling_roberta.RobertaSelfAttention"
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"blurr.text.data.core.BatchDecodeTransform"
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"torch._utils._rebuild_parameter"
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"fastcore.dispatch._TypeDict"
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"fastai.learner.AvgLoss"
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"fastai.data.load._wif"
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"fastai.data.core.DataLoaders"
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"transformers.models.roberta.modeling_roberta.RobertaLayer"
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"numpy.dtype"
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"torch.device"
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