Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-language: 
+language:
 - en
 - zh
 - de
@@ -29,7 +29,7 @@ language:
 - da
 - hu
 - ta
-- no
+- 'no'
 - th
 - ur
 - hr
@@ -99,10 +99,14 @@ language:
 - ba
 - jw
 - su
+
 tags:
 - audio
 - automatic-speech-recognition
 - hf-asr-leaderboard
+- code
+- legal
+
 widget:
 - example_title: Librispeech sample 1
   src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
@@ -188,6 +192,7 @@ Which forces the model to predict in English under the task of speech recognitio
 ## Transcription
 
 ### English to English 
+
 In this example, the context tokens are 'unforced', meaning the model automatically predicts the output language
 (English) and task (transcribe).
 
@@ -217,7 +222,8 @@ In this example, the context tokens are 'unforced', meaning the model automatica
 The context tokens can be removed from the start of the transcription by setting `skip_special_tokens=True`.
 
 ### French to French 
-The following example demonstrates French to French transcription by setting the decoder ids appropriately. 
+
+The following example demonstrates French to French transcription by setting the appropriate decoder ids. 
 
 ```python
 >>> from transformers import WhisperProcessor, WhisperForConditionalGeneration
@@ -245,6 +251,7 @@ The following example demonstrates French to French transcription by setting the
 ```
 
 ## Translation 
+
 Setting the task to "translate" forces the Whisper model to perform speech translation.
 
 ### French to English
@@ -392,4 +399,4 @@ There are also potential dual use concerns that come with releasing Whisper. Whi
   year = {2022},
   copyright = {arXiv.org perpetual, non-exclusive license}
 }
-```
+```