update config

README.md

@@ -17,7 +17,7 @@ widget:
 ## About QARiB
 <img src="./Qarib_logo.png" width="100" align="left"/>
 QCRI Arabic and Dialectal BERT  (QARiB) model, was trained on a collection of ~ 420 Million tweets and ~ 180 Million sentences of text.
-For Tweets, the data was collected using twitter API and using language filter. `lang:ar`. For Text data, it was a combination from
+For the tweets, the data was collected using twitter API and using language filter. `lang:ar`. For the text data, it was a combination from
 [Arabic GigaWord](url), [Abulkhair Arabic Corpus]() and [OPUS](http://opus.nlpl.eu/).
 
 QARiB: Is the Arabic name for "Boat".

config.json

@@ -1,4 +1,7 @@
 {
+  "architectures": [
+    "BertModel"
+  ],
   "attention_probs_dropout_prob": 0.1,
   "directionality": "bidi",
   "hidden_act": "gelu",