Instructions to use espnet/cmusic_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/cmusic_dev with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/cmusic_dev" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
File size: 290 Bytes
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files:
asr_model_file: exp/asr_train_asr_transformer_raw_en_word/500epoch.pth
python: 3.10.19 (main, Oct 21 2025, 16:38:01) [GCC 11.2.0]
timestamp: 1773607169.955381
torch: 2.7.1+cu128
yaml_files:
asr_train_config: exp/asr_train_asr_transformer_raw_en_word/config.yaml
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