Update README.md

README.md

@@ -4,26 +4,18 @@ tags:
 - albert-persian
 - persian-lm
 license: apache-2.0
-datasets:
-- Persian Wikidumps
-- MirasText
-- BigBang Page
-- Chetor
-- Eligasht
-- DigiMag
-- Ted Talks
-- Books (Novels, ...)
 ---
 
 # ALBERT-Persian
 
-## ALBERT-Persian: A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
+A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
+> میتونی بهش بگی برت_کوچولو
 
 ## Introduction
 
 ALBERT-Persian trained on a massive amount of public corpora ([Persian Wikidumps](https://dumps.wikimedia.org/fawiki/), [MirasText](https://github.com/miras-tech/MirasText)) and six other manually crawled text data from a various type of websites ([BigBang Page](https://bigbangpage.com/) `scientific`, [Chetor](https://www.chetor.com/) `lifestyle`, [Eligasht](https://www.eligasht.com/Blog/) `itinerary`,  [Digikala](https://www.digikala.com/mag/) `digital magazine`, [Ted Talks](https://www.ted.com/talks) `general conversational`, Books `novels, storybooks, short stories from old to the contemporary era`).
 
-
+Please follow the [ALBERT-Persian](https://github.com/m3hrdadfi/albert-persian) repo for the latest information about previous and current models.
 
 ## Intended uses & limitations
 
@@ -34,6 +26,9 @@ fine-tuned versions on a task that interests you.
 
 ### How to use
 
+- for using any type of Albert you have to install sentencepiece
+- run this in your notebook ``` !pip install -q sentencepiece ```
+
 #### TensorFlow 2.0
 
 ```python