code: def predict(self, tokens):
      tokens = [[token] for token in tokens]
      X = self.featurizer.transform([tokens])[0]
      tags = self.crf_tagger.tag(X)
      return tags
  
file_path: underthesea/underthesea/models/py_crf_sequence_tagger.py
imports: from os.path import join
  from pathlib import Path
  import joblib
  import pycrfsuite
  from underthesea.transformer.tagged import TaggedTransformer
label_desc: Use image node_id 4 for calling the PyCRFSequenceTagger obj's underlying member method code with example usage: obj.predict(tokens) and returns: tags