Update README.md

README.md

@@ -99,6 +99,7 @@ language:
   - ba
   - jw
   - su
+  - yue
 tags:
   - audio
   - automatic-speech-recognition
@@ -106,6 +107,10 @@ license: mit
 library_name: ctranslate2
 ---
 
+faster-whisper officially supports the large-v3 model now. The link is [Systran/faster-whisper-large-v3](https://huggingface.co/Systran/faster-whisper-large-v3)
+
+___
+
 **README.md file is based on "[guillaumekln/faster-whisper-large-v2](https://huggingface.co/guillaumekln/faster-whisper-large-v2)" and has been updated to version 3 content.**
 
 # Whisper large-v3 model for CTranslate2
@@ -147,15 +152,17 @@ self.hf_tokenizer.save_pretrained("whisper-large-v3-test")
 
 ## How faster-whisper working with Whisper-large-v3
 
-[Working with Whisper-large-v3 #547](https://github.com/guillaumekln/faster-whisper/issues/547) by. UmarRamzan
+**In faster-whisper version 0.10.0, there is no need to perform this handling.**
 
-```python
-from faster_whisper import WhisperModel
+~~[Working with Whisper-large-v3 #547](https://github.com/guillaumekln/faster-whisper/issues/547) by. UmarRamzan~~
+
+```diff
+- from faster_whisper import WhisperModel
 
-model = WhisperModel(model_url)
+- model = WhisperModel(model_url)
 
-if "large-v3" in model_url:
-    model.feature_extractor.mel_filters = model.feature_extractor.get_mel_filters(model.feature_extractor.sampling_rate, model.feature_extractor.n_fft, n_mels=128)
+- if "large-v3" in model_url:
+-     model.feature_extractor.mel_filters = model.feature_extractor.get_mel_filters(model.feature_extractor.sampling_rate, model.feature_extractor.n_fft, n_mels=128)
 ```
 
 ## More information