class_docstr: Multi-layer BiLSTM model for language detecting. A recreation of "A reproduction of Apple's bi-directional LSTM models
  for language identification in short strings." (Toftrup et al 2021)
  
  Arxiv: https://arxiv.org/abs/2102.06282
  GitHub: https://github.com/AU-DIS/LSTM_langid
  
  This class is similar to https://github.com/AU-DIS/LSTM_langid/blob/main/src/LSTMLID.py
code: def loss(self, Y_hat, Y):
      return self.loss_train(Y_hat, Y)
  
file_path: stanza/stanza/models/langid/model.py
imports: import os
  import torch
  import torch.nn
label_desc: Use image node_id 3 for calling the LangIDBiLSTM obj's underlying member method code with example usage: obj.loss(Y_hat, Y) and returns: self