diff --git a/pythainlp/tag/pos_tag.py b/pythainlp/tag/pos_tag.py
index abdfe5fc2..d415c0805 100644
--- a/pythainlp/tag/pos_tag.py
+++ b/pythainlp/tag/pos_tag.py
@@ -180,12 +180,13 @@ def pos_tag_sents(
 
 
 def pos_tag_transformers(
-    words: str, engine: str = "bert-base-th-cased-blackboard"
+    words: str, engine: str = "phayathai"
 ):
     """
-    "wangchanberta-ud-thai-pud-upos",
-    "mdeberta-v3-ud-thai-pud-upos",
-    "bert-base-th-cased-blackboard",
+    "wangchanberta",
+    "mdeberta",
+    "bert_cased",
+    "phayathai",
 
     """
 
@@ -199,17 +200,21 @@ def pos_tag_transformers(
     if not words:
         return []
 
-    if engine == "wangchanberta-ud-thai-pud-upos":
+    if engine == "wangchanberta":
         model = AutoModelForTokenClassification.from_pretrained(
             "Pavarissy/wangchanberta-ud-thai-pud-upos")
         tokenizer = AutoTokenizer.from_pretrained("Pavarissy/wangchanberta-ud-thai-pud-upos")
-    elif engine == "mdeberta-v3-ud-thai-pud-upos":
+    elif engine == "mdeberta":
         model = AutoModelForTokenClassification.from_pretrained(
             "Pavarissy/mdeberta-v3-ud-thai-pud-upos")
         tokenizer = AutoTokenizer.from_pretrained("Pavarissy/mdeberta-v3-ud-thai-pud-upos")
-    elif engine == "bert-base-th-cased-blackboard":
+    elif engine == "bert_cased":
         model = AutoModelForTokenClassification.from_pretrained("lunarlist/pos_thai")
         tokenizer = AutoTokenizer.from_pretrained("lunarlist/pos_thai")
+    elif engine == "phayathai":
+        model = AutoModelForTokenClassification.from_pretrained(
+            "lunarlist/pos_thai_phayathai")
+        tokenizer = AutoTokenizer.from_pretrained("lunarlist/pos_thai_phayathai")
     else:
         raise ValueError(
             "pos_tag_transformers not support {0} engine.".format(
diff --git a/tests/test_tag.py b/tests/test_tag.py
index 8d1755b18..95eff9a45 100644
--- a/tests/test_tag.py
+++ b/tests/test_tag.py
@@ -367,10 +367,12 @@ def test_NNER_class(self):
 
     def test_pos_tag_transformers(self):
         self.assertIsNotNone(pos_tag_transformers(
-            words="แมวทำอะไรตอนห้าโมงเช้า", engine="bert-base-th-cased-blackboard"))
+            words="แมวทำอะไรตอนห้าโมงเช้า", engine="bert_cased"))
         self.assertIsNotNone(pos_tag_transformers(
-            words="แมวทำอะไรตอนห้าโมงเช้า", engine="mdeberta-v3-ud-thai-pud-upos"))
+            words="แมวทำอะไรตอนห้าโมงเช้า", engine="mdeberta"))
         self.assertIsNotNone(pos_tag_transformers(
-            words="แมวทำอะไรตอนห้าโมงเช้า", engine="wangchanberta-ud-thai-pud-upos"))
+            words="แมวทำอะไรตอนห้าโมงเช้า", engine="wangchanberta"))
+        self.assertIsNotNone(pos_tag_transformers(
+            words="แมวทำอะไรตอนห้าโมงเช้า", engine="phayathai"))
         with self.assertRaises(ValueError):
             pos_tag_transformers(words="แมวทำอะไรตอนห้าโมงเช้า", engine="non-existing-engine")
\ No newline at end of file