remove unigrams

run_evaluation.py

@@ -22,9 +22,7 @@ class KenLM:
         vocab_dict = tokenizer.get_vocab()
         self.vocabulary = [x[0] for x in sorted(vocab_dict.items(), key=lambda x: x[1], reverse=False)]
         self.vocabulary = self.vocabulary[:-1]
-        with open(unigrams, "r") as f:
-            unigrams_text = f.read()
-            self.decoder = build_ctcdecoder(self.vocabulary, model_name, unigrams=unigrams_text)
+        self.decoder = build_ctcdecoder(self.vocabulary, model_name)
 
     @staticmethod
     def lm_postprocess(text):