Fetching metadata from the HF Docker repository...
Update app.py
c0bfd55 - 1.52 kB initial commit
- 231 Bytes initial commit
- 9.33 kB Update app.py
db_instructEmbedd.pkl Detected Pickle imports (35)
- "transformers.models.distilbert.configuration_distilbert.DistilBertConfig",
- "torch.nn.modules.linear.Identity",
- "transformers.models.distilbert.modeling_distilbert.Transformer",
- "langchain.vectorstores.faiss._default_relevance_score_fn",
- "InstructorEmbedding.instructor.INSTRUCTOR_Pooling",
- "builtins.getattr",
- "faiss.swigfaiss_avx2.IndexFlatL2",
- "transformers.activations.GELUActivation",
- "tokenizers.models.Model",
- "torch.float32",
- "InstructorEmbedding.instructor.INSTRUCTOR",
- "torch.storage._load_from_bytes",
- "transformers.models.distilbert.modeling_distilbert.MultiHeadSelfAttention",
- "InstructorEmbedding.instructor.INSTRUCTOR_Transformer",
- "torch._C._nn.gelu",
- "torch.nn.modules.normalization.LayerNorm",
- "collections.OrderedDict",
- "langchain.vectorstores.faiss.FAISS",
- "torch.nn.modules.dropout.Dropout",
- "langchain.docstore.in_memory.InMemoryDocstore",
- "langchain.embeddings.huggingface.HuggingFaceInstructEmbeddings",
- "torch.nn.modules.sparse.Embedding",
- "tokenizers.Tokenizer",
- "transformers.models.distilbert.modeling_distilbert.DistilBertModel",
- "torch._utils._rebuild_parameter",
- "transformers.models.distilbert.modeling_distilbert.FFN",
- "torch.nn.modules.linear.Linear",
- "transformers.models.distilbert.tokenization_distilbert_fast.DistilBertTokenizerFast",
- "transformers.models.distilbert.modeling_distilbert.Embeddings",
- "transformers.models.distilbert.modeling_distilbert.TransformerBlock",
- "torch._utils._rebuild_tensor_v2",
- "sentence_transformers.models.Dense.Dense",
- "torch.nn.modules.container.ModuleList",
- "torch.device",
- "langchain.schema.document.Document"
How to fix it?
270 MB Upload db_instructEmbedd.pkl - 2.48 kB Upload requirements.txt