Update pipeline/GroundingDINO/groundingdino/util/get_tokenlizer.py

pipeline/GroundingDINO/groundingdino/util/get_tokenlizer.py

@@ -15,15 +15,13 @@ def get_tokenlizer(text_encoder_type):
                 "Unknown type of text_encoder_type: {}".format(type(text_encoder_type))
             )
     print("final text_encoder_type: {}".format(text_encoder_type))
-    # text_encoder_type
     tokenizer = AutoTokenizer.from_pretrained(text_encoder_type)
     return tokenizer
 
 
 def get_pretrained_language_model(text_encoder_type):
     if text_encoder_type == "bert-base-uncased" or (os.path.isdir(text_encoder_type) and os.path.exists(text_encoder_type)):
-        # /newdisk3/wcx/models--bert-base-uncased/snapshots/1dbc166cf8765166998eff31ade2eb64c8a40076 text_encoder_type
-        return BertModel.from_pretrained("/newdisk3/wcx/models--bert-base-uncased/snapshots/1dbc166cf8765166998eff31ade2eb64c8a40076")
+        return BertModel.from_pretrained(text_encoder_type)
     if text_encoder_type == "roberta-base":
         return RobertaModel.from_pretrained(text_encoder_type)