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T0asty
/
fake-news-classifier
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Text Classification
Transformers
PyTorch
fake_news_english
English
roberta
Inference Endpoints
License:
apache-2.0
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fake-news-classifier
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saved_model_20230312165122.pt
pickle
Detected Pickle imports (25)
"__builtin__.set"
,
"torch.LongStorage"
,
"transformers.models.roberta.modeling_roberta.RobertaModel"
,
"collections.OrderedDict"
,
"transformers.models.roberta.modeling_roberta.RobertaSelfAttention"
,
"transformers.models.roberta.modeling_roberta.RobertaIntermediate"
,
"torch.FloatStorage"
,
"torch._utils._rebuild_parameter"
,
"transformers.activations.GELUActivation"
,
"torch._utils._rebuild_tensor_v2"
,
"transformers.models.roberta.modeling_roberta.RobertaAttention"
,
"torch._C._nn.gelu"
,
"torch.nn.modules.container.ModuleList"
,
"transformers.models.roberta.configuration_roberta.RobertaConfig"
,
"transformers.models.roberta.modeling_roberta.RobertaClassificationHead"
,
"torch.nn.modules.normalization.LayerNorm"
,
"transformers.models.roberta.modeling_roberta.RobertaEncoder"
,
"torch.nn.modules.dropout.Dropout"
,
"transformers.models.roberta.modeling_roberta.RobertaOutput"
,
"torch.nn.modules.sparse.Embedding"
,
"transformers.models.roberta.modeling_roberta.RobertaSelfOutput"
,
"transformers.models.roberta.modeling_roberta.RobertaEmbeddings"
,
"transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification"
,
"transformers.models.roberta.modeling_roberta.RobertaLayer"
,
"torch.nn.modules.linear.Linear"
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Upload saved_model_20230312165122.pt
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