Update README.md

README.md

@@ -1,10 +1,29 @@
----
-library_name: transformers
-license: apache-2.0
----
-```
+---
 base_model: distilbert/distilbert-base-multilingual-cased
-language: multilingual
+language:
+- en
+- zh
+- es
+- hi
+- ar
+- bn
+- pt
+- ru
+- ja
+- de
+- ms
+- te
+- vi
+- ko
+- fr
+- tr
+- it
+- pl
+- uk
+- tl
+- nl
+- gsw
+
 license: apache-2.0
 pipeline_tag: text-classification
 tags:
@@ -18,20 +37,29 @@ tags:
 - product-reviews
 - brand-monitoring
 widget:
-- text: "I absolutely loved this movie! The acting was superb and the plot was engaging."
-  example_title: Very Positive Review (English)
-- text: "我讨厌这种无休止的争吵。"
-  example_title: Very Negative Review (Chinese)
-- text: "El producto funciona como se espera. Nada especial, pero cumple con su función."
-  example_title: Neutral Review (Spanish)
-- text: "هذا الكتاب غير حياتي! لقد تعلمت الكثير منه."
-  example_title: Very Positive Review (Arabic)
-- text: "Я разочарован покупкой, это не так хорошо, как я надеялся."
-  example_title: Negative Review (Russian)
+- text: >-
+    I absolutely loved this movie! The acting was superb and the plot was
+    engaging.
+  example_title: Very Positive Review
+- text: The service at this restaurant was terrible. I'll never go back.
+  example_title: Very Negative Review
+- text: The product works as expected. Nothing special, but it gets the job done.
+  example_title: Neutral Review
+- text: I'm somewhat disappointed with my purchase. It's not as good as I hoped.
+  example_title: Negative Review
+- text: This book changed my life! I couldn't put it down and learned so much.
+  example_title: Very Positive Review
 inference:
   parameters:
     temperature: 1
-```
+---
+
+ "Chinese (中文)", "Spanish (Español)", "Hindi (हिन्दी)", "Arabic (العربية)",
+    "Bengali (বাংলা)", "Portuguese (Português)", "Russian (Русский)", "Japanese (日本語)",
+    "German (Deutsch)", "Malay (Bahasa Melayu)", "Telugu (తెలుగు)",
+    "Vietnamese (Tiếng Việt)", "Korean (한국어)", "French (Français)", "Turkish (Türkçe)",
+    "Italian (Italiano)", "Polish (Polski)", "Ukrainian (Українська)",
+    "Tagalog", "Dutch (Nederlands)", "Swiss German (Schweizerdeutsch)"
 
 # 🚀 distilbert-based Multilingual Sentiment Classification Model