class_docstr: Bi-LSTM over characters to produce a word embedding from characters
class_docstr_tok: ["Bi-LSTM","over","characters","to","produce","a","word","embedding","from","characters"]
code: def prepare_for_onnx_export_(self, **kwargs):
      self.onnx_export_model = True
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from pytorch_translate import common_layers, rnn, utils
  from pytorch_translate.data.dictionary import TAGS
  from torch.nn.utils.rnn import pack_padded_sequence
label_desc: Use image node_id 3 for calling the CharRNNModel obj's underlying member method code with example usage: obj.prepare_for_onnx_export_() without return types