Error while running embedding model

[sohanasarah]

Can anyone tell me why I am getting this error? I have 3200 documents. But I ran the model without any issues before.

File C:\Program Files\python\lib\site-packages\torch\nn\modules\sparse.py:162, in Embedding.forward(self, input)
    161 def forward(self, input: Tensor) -> Tensor:
--> 162     return F.embedding(
    163         input, self.weight, self.padding_idx, self.max_norm,
    164         self.norm_type, self.scale_grad_by_freq, self.sparse)

File C:\Program Files\python\lib\site-packages\torch\nn\functional.py:2210, in embedding(input, weight, padding_idx, max_norm, norm_type, scale_grad_by_freq, sparse)
   2204     # Note [embedding_renorm set_grad_enabled]
   2205     # XXX: equivalent to
   2206     # with torch.no_grad():
   2207     #   torch.embedding_renorm_
   2208     # remove once script supports set_grad_enabled
   2209     _no_grad_embedding_renorm_(weight, input, max_norm, norm_type)
-> 2210 return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)

RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 50331648 bytes.