Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

1. 1Prepare environment in Google Colab
2. 2Load dataset for fine-tuning
3. 3Prepare feature extractor, tokenizer, and data
4. 4Load pre-trained Whisper model and fine-tune it
5. 5Evaluate the fine-tuned model's performance

Data scientists and machine learning engineers on a team can benefit from this tutorial to improve ASR models for multilingual support, and software engineers can use the provided code to integrate the fine-tuned model into their applications

💡 Fine-tuning a pre-trained Whisper model can significantly improve its performance on multilingual ASR tasks

🗣️ Fine-tune Whisper for multilingual ASR with Hugging Face Transformers! 🤖