Fetching metadata from the HF Docker repository...
Create requirements.txt
44193fe verified - 1.52 kB initial commit
- 271 Bytes Update README.md
- 9.87 kB Update app.py
- 786 Bytes Upload config.json
- 59 Bytes Create requirements.txt
- 59 Bytes Update requirements_notebook.txt
sentiment_pipeline.pkl Detected Pickle imports (33)
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.activation.Tanh",
- "collections.OrderedDict",
- "transformers.models.bert.modeling_bert.BertForSequenceClassification",
- "transformers.models.bert.modeling_bert.BertLayer",
- "transformers.models.bert.modeling_bert.BertModel",
- "transformers.models.bert.tokenization_bert.BasicTokenizer",
- "transformers.models.bert.tokenization_bert.WordpieceTokenizer",
- "transformers.activations.GELUActivation",
- "__main__.predict_sentiment",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "transformers.models.bert.modeling_bert.BertPooler",
- "torch.nn.modules.sparse.Embedding",
- "torch.nn.modules.normalization.LayerNorm",
- "torch._C._nn.gelu",
- "transformers.models.bert.tokenization_bert.BertTokenizer",
- "transformers.models.bert.configuration_bert.BertConfig",
- "transformers.tokenization_utils.Trie",
- "transformers.models.bert.modeling_bert.BertOutput",
- "numpy._core.multiarray.scalar",
- "torch._utils._rebuild_parameter",
- "torch.storage._load_from_bytes",
- "tokenizers.AddedToken",
- "torch.float32",
- "numpy.dtype",
- "torch.nn.modules.linear.Linear",
- "transformers.models.bert.modeling_bert.BertAttention",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "torch.nn.modules.dropout.Dropout"
How to fix it?
439 MB Upload sentiment_pipeline.pkl