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dj86/VLog4CustomLLMsPlusQA
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VLog4CustomLLMsPlusQA-3
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VLog4CustomLLMsPlusQA-3
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Detected Pickle imports (39)
"torch._utils._rebuild_parameter"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention"
,
"langchain_core.documents.base.Document"
,
"torch.device"
,
"langchain_community.vectorstores.utils.DistanceStrategy"
,
"sentence_transformers.models.Transformer.Transformer"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaModel"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings"
,
"tokenizers.models.Model"
,
"faiss.swigfaiss_avx512.IndexFlatL2"
,
"torch.nn.modules.dropout.Dropout"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaIntermediate"
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"transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast"
,
"torch.nn.modules.container.ModuleList"
,
"torch.nn.modules.linear.Linear"
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"sentence_transformers.models.Pooling.Pooling"
,
"langchain_community.vectorstores.faiss.FAISS"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEncoder"
,
"collections.OrderedDict"
,
"tokenizers.Tokenizer"
,
"torch._utils._rebuild_tensor_v2"
,
"transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig"
,
"torch.float32"
,
"langchain_community.docstore.in_memory.InMemoryDocstore"
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"tokenizers.AddedToken"
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"torch.nn.modules.activation.Tanh"
,
"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput"
,
"langchain_community.embeddings.huggingface.HuggingFaceEmbeddings"
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"torch._C._nn.gelu"
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"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaLayer"
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"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput"
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"torch.nn.modules.sparse.Embedding"
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"sentence_transformers.SentenceTransformer.SentenceTransformer"
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"transformers.activations.GELUActivation"
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"torch.storage._load_from_bytes"
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"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfAttention"
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"sentence_transformers.models.Normalize.Normalize"
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"transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaPooler"
,
"torch.nn.modules.normalization.LayerNorm"
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