Update README.md

README.md

@@ -6,9 +6,13 @@ library_name: transformers
 pipeline_tag: fill-mask
 datasets:
 - tahrirchi/uzbek-corpus
+tags:
+- bert
+widget:
+ - text: "Alisher Navoiy – ulug‘ o‘zbek va boshqa turkiy xalqlarning <mask>, mutafakkiri va davlat arbobi bo‘lgan."
 ---
 
-# Tahrirchi BERT base model (uncased)
+# TahrirchiBERT base mode
 
 The TahrirchiBERT-base is an encoder-only Transformer text model with 110 million parameters. 
 It is pretrained model on Uzbek language (latin script) using a masked language modeling (MLM) objective. This model is case-sensitive: it does make a difference between uzbek and Uzbek.
@@ -19,7 +23,7 @@ For full details of this model please read our paper (coming soon!) and [release
 
 This model is part of the family of **TahrirchiBERT models** trained with different number of parameters that will continuously expanded in the future.
 
-| Model | #params | Language | Script
+| Model | Number of parameters | Language | Script
 |------------------------|--------------------------------|-------|-------|
 | [`tahrirchi-bert-small`](https://huggingface.co/tahrirchi/tahrirchi-bert-small) | 67M   | Uzbek | Latin
 | [`tahrirchi-bert-base`](https://huggingface.co/tahrirchi/tahrirchi-bert-base) | 110M   | Uzbek | Latin
@@ -60,7 +64,7 @@ You can use this model directly with a pipeline for masked language modeling:
   'sequence': 'Alisher Navoiy – ulug‘ o‘zbek va boshqa turkiy xalqlarning farzandi, mutafakkiri va davlat arbobi bo‘lgan.'}]
 
 
->>> unmasker('Egiluvchan boʻgʻinlari va <mask>, yarim bukilgan tirnoqlari tik qiyaliklar hamda daraxtlarga oson chiqish imkonini beradi.')
+>>> unmasker("Egiluvchan boʻgʻinlari va <mask>, yarim bukilgan tirnoqlari tik qiyaliklar hamda daraxtlarga oson chiqish imkonini beradi.")
 
 [{'score': 0.1740381121635437,
   'token': 12571,