Derur

/

silero-models

like 2

• "__torch__.torch.nn.quantized.dynamic.modules.rnn.PackedParameter",
• "__torch__.jit_model.MultiHeadSelfAttention",
• "__torch__.torch.nn.modules.container.___torch_mangle_0.ModuleList",
• "__torch__.torch.nn.quantized.dynamic.modules.rnn.LSTM",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.torch.nn.modules.sparse.Embedding",
• "__torch__.torch.classes.quantized.EmbeddingPackedParamsBase",
• "__torch__.jit_model.TransformerBlock",
• "__torch__.jit_model.DistilBertModel",
• "__torch__.torch.nn.quantized.modules.embedding_ops.Embedding",
• "__torch__.jit_model.Transformer",
• "__torch__.torch.nn.modules.activation.Softmax",
• "torch.jit._pickle.build_tensorlist",
• "__torch__.jit_model.RNNBlock",
• "collections.OrderedDict",
• "__torch__.jit_model.FFN",
• "__torch__.torch.classes.quantized.LinearPackedParamsBase",
• "__torch__.torch.classes.rnn.CellParamsBase",
• "__torch__.torch.nn.modules.normalization.LayerNorm",
• "torch.jit._pickle.build_intlist",
• "torch._utils._rebuild_qtensor",
• "__torch__.jit_model.ShrinkedEmbeddings",
• "torch._utils._rebuild_tensor_v2",
• "torch.QUInt8Storage",
• "torch.FloatStorage",
• "torch.per_channel_affine_float_qparams",
• "__torch__.torch.nn.quantized.modules.embedding_ops.EmbeddingPackedParams",
• "__torch__.jit_model.JitTeBert",
• "__torch__.jit_model.DistilBertForMaskedLM",
• "__torch__.torch.nn.quantized.dynamic.modules.linear.Linear",
• "__torch__.torch.nn.quantized.modules.linear.LinearPackedParams",
• "torch.jit._pickle.build_doublelist",
• "torch.per_tensor_affine",
• "torch.jit._pickle.restore_type_tag",
• "torch.QInt8Storage",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.jit_tokenizer.WordpieceTokenizer",
• "torch.jit._pickle.restore_type_tag",
• "__torch__.jit_tokenizer.BertTokenizer",
• "release_module.TeModel",
• "builtins.set",
• "torch.device",
• "torch.jit._script.unpackage_script_module"

How to fix it?