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Wipiii

Upload ft_minilm_1.pkl with huggingface_hub

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.gitattributes

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Upload sbert_unstemmed_model_mpnet_base_dot_v1 with huggingface_hub almost 2 years ago
ft_allmpnet_1.pkl

10.7 GB
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ft_minilm_1.pkl

10.2 GB
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ft_sbert_model_allmpnet_1.pkl

10.7 GB
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ft_sbert_model_minilm_1.pkl

10.2 GB
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sbert_unstemmed_model_allmpnet_1.pkl
Detected Pickle imports (45)
- "__main__.SBERTModel",
- "pandas.core.internals.managers.BlockManager",
- "transformers.models.mpnet.modeling_mpnet.MPNetModel",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.container.ModuleList",
- "torch.torch_version.TorchVersion",
- "transformers.models.mpnet.tokenization_mpnet_fast.MPNetTokenizerFast",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "pandas.core.indexes.base._new_Index",
- "tokenizers.models.Model",
- "torch._utils._rebuild_parameter",
- "transformers.models.mpnet.modeling_mpnet.MPNetEmbeddings",
- "transformers.activations.GELUActivation",
- "torch._C._nn.gelu",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.sparse.Embedding",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "numpy.core.multiarray._reconstruct",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.mpnet.modeling_mpnet.MPNetSelfAttention",
- "__main__.Preprocessor",
- "pandas._libs.internals._unpickle_block",
- "sentence_transformers.models.Transformer.Transformer",
- "transformers.models.mpnet.modeling_mpnet.MPNetAttention",
- "transformers.models.mpnet.modeling_mpnet.MPNetIntermediate",
- "transformers.models.mpnet.modeling_mpnet.MPNetPooler",
- "tokenizers.Tokenizer",
- "builtins.slice",
- "numpy.dtype",
- "torch.storage._load_from_bytes",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "pandas.core.frame.DataFrame",
- "transformers.models.mpnet.configuration_mpnet.MPNetConfig",
- "pandas.core.indexes.range.RangeIndex",
- "sentence_transformers.models.Normalize.Normalize",
- "transformers.models.mpnet.modeling_mpnet.MPNetEncoder",
- "transformers.models.mpnet.modeling_mpnet.MPNetLayer",
- "tokenizers.AddedToken",
- "nltk.stem.porter.PorterStemmer",
- "transformers.models.mpnet.modeling_mpnet.MPNetOutput",
- "torch.nn.modules.activation.Tanh",
- "sentence_transformers.models.Pooling.Pooling"
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853 MB
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sbert_unstemmed_model_allmpnet_v2.pkl
Detected Pickle imports (45)
- "torch.nn.modules.dropout.Dropout",
- "numpy.ndarray",
- "pandas._libs.internals._unpickle_block",
- "torch.nn.modules.sparse.Embedding",
- "sentence_transformers.models.Normalize.Normalize",
- "__main__.Preprocessor",
- "torch._utils._rebuild_tensor_v2",
- "pandas.core.indexes.range.RangeIndex",
- "transformers.models.mpnet.modeling_mpnet.MPNetPooler",
- "transformers.models.mpnet.modeling_mpnet.MPNetSelfAttention",
- "torch.torch_version.TorchVersion",
- "pandas.core.internals.managers.BlockManager",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.linear.Linear",
- "pandas.core.indexes.base.Index",
- "transformers.models.mpnet.tokenization_mpnet_fast.MPNetTokenizerFast",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.mpnet.modeling_mpnet.MPNetEmbeddings",
- "nltk.stem.porter.PorterStemmer",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "transformers.models.mpnet.modeling_mpnet.MPNetModel",
- "__main__.SBERTModel",
- "builtins.slice",
- "tokenizers.models.Model",
- "sentence_transformers.models.Transformer.Transformer",
- "transformers.models.mpnet.modeling_mpnet.MPNetEncoder",
- "pandas.core.indexes.base._new_Index",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.mpnet.modeling_mpnet.MPNetIntermediate",
- "torch._utils._rebuild_parameter",
- "transformers.activations.GELUActivation",
- "torch._C._nn.gelu",
- "sentence_transformers.models.Pooling.Pooling",
- "torch.nn.modules.activation.Tanh",
- "pandas.core.frame.DataFrame",
- "numpy.core.multiarray._reconstruct",
- "tokenizers.Tokenizer",
- "tokenizers.AddedToken",
- "transformers.models.mpnet.modeling_mpnet.MPNetAttention",
- "transformers.models.mpnet.modeling_mpnet.MPNetLayer",
- "transformers.models.mpnet.modeling_mpnet.MPNetOutput",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "collections.OrderedDict",
- "numpy.dtype",
- "transformers.models.mpnet.configuration_mpnet.MPNetConfig"
How to fix it?
853 MB
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Upload sbert_unstemmed_model_allmpnet_v2.pkl with huggingface_hub almost 2 years ago
sbert_unstemmed_model_ft_allmpnet_v2.pkl

10.7 GB
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sbert_unstemmed_model_ft_minilm.pkl

10.2 GB
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sbert_unstemmed_model_ft_mpnet_base_dot_v1.pkl

10.7 GB
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Upload sbert_unstemmed_model_ft_mpnet_base_dot_v1.pkl with huggingface_hub almost 2 years ago
sbert_unstemmed_model_minilm.pkl
Detected Pickle imports (46)
- "transformers.models.bert.modeling_bert.BertAttention",
- "tokenizers.Tokenizer",
- "pandas.core.internals.managers.BlockManager",
- "sentence_transformers.models.Normalize.Normalize",
- "torch.nn.modules.sparse.Embedding",
- "torch.torch_version.TorchVersion",
- "transformers.models.bert.modeling_bert.BertModel",
- "pandas.core.indexes.base.Index",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.activation.Tanh",
- "torch._C._nn.gelu",
- "tokenizers.AddedToken",
- "collections.OrderedDict",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "torch.nn.modules.normalization.LayerNorm",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertOutput",
- "sentence_transformers.models.Transformer.Transformer",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "pandas.core.indexes.base._new_Index",
- "transformers.models.bert.configuration_bert.BertConfig",
- "nltk.stem.porter.PorterStemmer",
- "tokenizers.models.Model",
- "torch._utils._rebuild_tensor_v2",
- "numpy.dtype",
- "sentence_transformers.models.Pooling.Pooling",
- "pandas._libs.internals._unpickle_block",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "pandas.core.frame.DataFrame",
- "transformers.activations.GELUActivation",
- "transformers.models.bert.modeling_bert.BertPooler",
- "transformers.models.bert.modeling_bert.BertSelfAttention",
- "__main__.SBERTModel",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "torch.nn.modules.linear.Linear",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.dropout.Dropout",
- "pandas.core.indexes.range.RangeIndex",
- "numpy.core.multiarray._reconstruct",
- "builtins.slice",
- "__main__.Preprocessor",
- "transformers.models.bert.modeling_bert.BertLayer"
How to fix it?
414 MB
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Upload sbert_unstemmed_model_minilm.pkl with huggingface_hub almost 2 years ago
sbert_unstemmed_model_minilm_1.pkl
Detected Pickle imports (46)
- "sentence_transformers.models.Pooling.Pooling",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "pandas.core.indexes.range.RangeIndex",
- "transformers.models.bert.modeling_bert.BertOutput",
- "transformers.models.bert.modeling_bert.BertSelfAttention",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.sparse.Embedding",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "transformers.models.bert.modeling_bert.BertPooler",
- "numpy.dtype",
- "torch.nn.modules.dropout.Dropout",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.internals.managers.BlockManager",
- "transformers.models.bert.modeling_bert.BertAttention",
- "tokenizers.models.Model",
- "torch.nn.modules.linear.Linear",
- "nltk.stem.porter.PorterStemmer",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.configuration_bert.BertConfig",
- "pandas.core.indexes.base.Index",
- "pandas.core.frame.DataFrame",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "sentence_transformers.models.Transformer.Transformer",
- "transformers.activations.GELUActivation",
- "torch.nn.modules.container.ModuleList",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "torch.torch_version.TorchVersion",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "torch._C._nn.gelu",
- "sentence_transformers.models.Normalize.Normalize",
- "builtins.slice",
- "tokenizers.Tokenizer",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.SBERTModel",
- "pandas.core.indexes.base._new_Index",
- "tokenizers.AddedToken",
- "__main__.Preprocessor",
- "collections.OrderedDict"
How to fix it?
414 MB
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sbert_unstemmed_model_mpnet_base_dot_v1.pkl

853 MB
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semantic_allmpnet.pkl

870 MB
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semantic_ft_allmpnet.pkl

10.7 GB
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semantic_ft_minilm.pkl

10.2 GB
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semantic_ft_multiqampnet.pkl

10.2 GB
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semantic_minilm.pkl
Detected Pickle imports (45)
- "sentence_transformers.models.Pooling.Pooling",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "pandas.core.indexes.range.RangeIndex",
- "transformers.models.bert.modeling_bert.BertOutput",
- "pandas.core.indexes.base._new_Index",
- "transformers.models.bert.modeling_bert.BertSelfAttention",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch.nn.modules.sparse.Embedding",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "transformers.models.bert.modeling_bert.BertPooler",
- "numpy.dtype",
- "torch.nn.modules.dropout.Dropout",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.internals.managers.BlockManager",
- "transformers.models.bert.modeling_bert.BertAttention",
- "tokenizers.models.Model",
- "torch.nn.modules.linear.Linear",
- "nltk.stem.porter.PorterStemmer",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.configuration_bert.BertConfig",
- "pandas.core.indexes.base.Index",
- "pandas.core.frame.DataFrame",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "sentence_transformers.models.Transformer.Transformer",
- "transformers.activations.GELUActivation",
- "torch.nn.modules.container.ModuleList",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "torch.torch_version.TorchVersion",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "torch._C._nn.gelu",
- "sentence_transformers.models.Normalize.Normalize",
- "tokenizers.Tokenizer",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.SBERTModel",
- "torch.storage._load_from_bytes",
- "tokenizers.AddedToken",
- "__main__.Preprocessor",
- "collections.OrderedDict"
How to fix it?
429 MB
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semantic_multiqampnet.pkl

870 MB
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Detected Pickle imports (45)

Detected Pickle imports (45)

Detected Pickle imports (46)

Detected Pickle imports (46)

Detected Pickle imports (45)