diff --git a/pyserini/analysis/_base.py b/pyserini/analysis/_base.py
index 7b4d3e391..7ca17c5ec 100644
--- a/pyserini/analysis/_base.py
+++ b/pyserini/analysis/_base.py
@@ -49,9 +49,10 @@
 JAnalyzerUtils = autoclass('io.anserini.analysis.AnalyzerUtils')
 JDefaultEnglishAnalyzer = autoclass('io.anserini.analysis.DefaultEnglishAnalyzer')
 JTweetAnalyzer = autoclass('io.anserini.analysis.TweetAnalyzer')
+JHuggingFaceTokenizerAnalyzer = autoclass('io.anserini.analysis.HuggingFaceTokenizerAnalyzer')
 
 
-def get_lucene_analyzer(language='en', stemming=True, stemmer='porter', stopwords=True) -> JAnalyzer:
+def get_lucene_analyzer(language: str='en', stemming: bool=True, stemmer: str='porter', stopwords: bool=True, huggingFaceTokenizer: str=None) -> JAnalyzer:
     """Create a Lucene ``Analyzer`` with specific settings.
 
     Parameters
@@ -64,6 +65,8 @@ def get_lucene_analyzer(language='en', stemming=True, stemmer='porter', stopword
         Stemmer to use.
     stopwords : bool
         Set to filter stopwords.
+    huggingFaceTokenizer: str
+        a huggingface model id or path to a tokenizer.json file
 
     Returns
     -------
@@ -112,6 +115,8 @@ def get_lucene_analyzer(language='en', stemming=True, stemmer='porter', stopword
         return JTurkishAnalyzer()
     elif language.lower() == 'tweet':
         return JTweetAnalyzer()
+    elif language.lower() == 'hgf_tokenizer':
+        return JHuggingFaceTokenizerAnalyzer(huggingFaceTokenizer)
     elif language.lower() == 'en':
         if stemming:
             if stopwords:
diff --git a/tests/test_analysis.py b/tests/test_analysis.py
index 8aa19179a..e4c7ea8df 100644
--- a/tests/test_analysis.py
+++ b/tests/test_analysis.py
@@ -96,6 +96,12 @@ def test_analysis(self):
         tokens = analyzer.analyze('City buses are running on time.')
         self.assertEqual(tokens, ['citi', 'buse', 'ar', 'run', 'on', 'time'])
 
+        # HuggingFace analyzer, with bert wordpiece tokenizer
+        analyzer = Analyzer(get_lucene_analyzer(language="hgf_tokenizer", huggingFaceTokenizer="bert-base-uncased"))
+        self.assertTrue(isinstance(analyzer, Analyzer))
+        tokens = analyzer.analyze('This tokenizer generates wordpiece tokens')
+        self.assertEqual(tokens, ['this', 'token', '##izer', 'generates', 'word', '##piece', 'token', '##s'])
+
     def test_invalid_analyzer_wrapper(self):
         # Invalid JAnalyzer, make sure we get an exception.
         with self.assertRaises(TypeError):