Wav2Vec2 Large XLSR 53 Japanese

This model is designed for automatic speech recognition in Japanese, utilizing the Wav2Vec2 architecture. It is trained on the Common Voice dataset and evaluates performance using Word Error Rate (WER) and Character Error Rate (CER) metrics. The model is tagged for audio processing and fine-tuning in speech recognition tasks.