Update README.md

README.md

@@ -4,6 +4,29 @@ datasets:
 - mozilla-foundation/common_voice_11_0
 language:
 - ja
+pipeline_tag: automatic-speech-recognition
+tags:
+- pytorch
+- faster-whisper
+- whisper
+- CTranslate2
+metrics:
+- wer
 ---
 
-Converted from [clu-ling/whisper-large-v2-japanese-5k-steps](https://huggingface.co/clu-ling/whisper-large-v2-japanese-5k-steps) using [CTranslate](https://github.com/OpenNMT/CTranslate2).
+Converted from [clu-ling/whisper-large-v2-japanese-5k-steps](https://huggingface.co/clu-ling/whisper-large-v2-japanese-5k-steps) using [CTranslate2](https://github.com/OpenNMT/CTranslate2).
+
+Usage:
+1. Install `pip install faster-whisper` (Check [faster-whisper](https://github.com/guillaumekln/faster-whisper) for detailed instructions.)
+
+2. ```python
+   from faster_whisper import WhisperModel
+
+   model = WhisperModel('zh-plus/faster-whisper-large-v2-japanese-5k-steps', device="cuda", compute_type="float16")
+   segments, info = model.transcribe("audio.mp3", beam_size=5)
+
+   print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
+
+   for segment in segments:
+       print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+   ```