Convert sbert names

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

auto_transformers.py

@@ -14,6 +14,7 @@
 
 import numpy
 import os
+import requests
 import torch
 import shutil
 from pathlib import Path
@@ -71,7 +72,7 @@ class AutoTransformers(NNOperator):
             self.device = device
         else:
             self.device = 'cuda' if torch.cuda.is_available() else 'cpu'
-        self.model_name = model_name
+        self.model_name = self.map_model_names(model_name)
         if tokenizer:
             self.tokenizer = tokenizer
         else:
@@ -242,3 +243,17 @@ class AutoTransformers(NNOperator):
         else:
             log.error(f'Invalid format "{format}". Currently supported formats: "pytorch", "torchscript".')
         return model_list
+
+    @staticmethod
+    def map_model_names(name):
+        req = requests.get("https://www.sbert.net/_static/html/models_en_sentence_embeddings.html")
+        data = req.text
+        default_sbert = []
+        for line in data.split('\r\n'):
+            line = line.replace(' ', '')
+            if line.startswith('"name":'):
+                name = line.split(':')[-1].replace('"', '').replace(',', '')
+                default_sbert.append(name)
+        if name in default_sbert:
+            name = 'sentence-transformers/' + name
+        return name