Instructions to use TalTechNLP/espnet2_estonian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use TalTechNLP/espnet2_estonian with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "TalTechNLP/espnet2_estonian" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
| espnet: 0.10.3a2 | |
| files: | |
| asr_model_file: exp/asr_train_asr_conformer7_n_fft512_hop_length256_raw_et_bpe5000_sp/valid.acc.ave_10best.pth | |
| lm_file: exp/lm_large/valid.loss.ave_5best.pth | |
| python: "3.8.11 (default, Aug 3 2021, 15:09:35) \n[GCC 7.5.0]" | |
| timestamp: 1632314911.177572 | |
| torch: 1.9.0 | |
| yaml_files: | |
| asr_train_config: exp/asr_train_asr_conformer7_n_fft512_hop_length256_raw_et_bpe5000_sp/config.yaml | |
| lm_train_config: exp/lm_large/config.yaml | |