Instructions to use pyf98/aishell_ctc_conformer_e15_linear1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use pyf98/aishell_ctc_conformer_e15_linear1024 with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "pyf98/aishell_ctc_conformer_e15_linear1024" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
| espnet: '202301' | |
| files: | |
| asr_model_file: exp/asr_train_asr_ctc_conformer_e15_linear1024_raw_zh_char_sp/valid.cer_ctc.ave_10best.pth | |
| python: "3.9.15 (main, Nov 24 2022, 14:31:59) \n[GCC 11.2.0]" | |
| timestamp: 1676841682.120727 | |
| torch: 1.13.1 | |
| yaml_files: | |
| asr_train_config: exp/asr_train_asr_ctc_conformer_e15_linear1024_raw_zh_char_sp/config.yaml | |