Update README

README.md

@@ -48,7 +48,7 @@ model-index:
 # Wav2Vec2-Base-Vietnamese-270h
 Fine-tuned Wav2Vec2 model on Vietnamese Speech Recognition task using about 270h labelled data combined from multiple datasets including [Common Voice](https://huggingface.co/datasets/common_voice), [VIVOS](https://huggingface.co/datasets/vivos), [VLSP2020](https://vlsp.org.vn/vlsp2020/eval/asr). The model was fine-tuned using SpeechBrain toolkit with a custom tokenizer. For a better experience, we encourage you to learn more about [SpeechBrain](https://speechbrain.github.io/).  
 When using this model, make sure that your speech input is sampled at 16kHz.  
-Please refer to [huggingface blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) on how to fine-tune this model on a specific language.
+Please refer to [huggingface blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) or [speechbrain](https://github.com/speechbrain/speechbrain/tree/develop/recipes/CommonVoice/ASR/CTC) on how to fine-tune Wav2Vec2 model on a specific language.
 
 ### Benchmark WER result:
 | | [VIVOS](https://huggingface.co/datasets/vivos) | [COMMON VOICE VI](https://huggingface.co/datasets/common_voice) |