code: def visualize_word_emeddings(
      self, embeddings, sentences, output_file
  ):
      X = self.prepare_word_embeddings(embeddings, sentences)
      contexts = self.word_contexts(sentences)
  
      trans_ = tSNE()
      reduced = trans_.fit(X)
  
      self.visualize(reduced, contexts, output_file)
  
file_path: flair/flair/visual/manifold.py
imports: import numpy
  import tqdm
  from sklearn.manifold import TSNE
label_desc: Use image node_id 1 for calling the Visualizer obj's underlying member method code with example usage: obj.visualize_word_emeddings(embeddings, sentences, output_file) without return types