Instructions to use espnet/owls_1B_180K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/owls_1B_180K with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/owls_1B_180K" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Create meta.yaml
Browse files
meta.yaml
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espnet: '202409'
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files:
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s2t_model_file: exp_owsm/s2t_train_1b_ds_raw_bpe50000/valid.total_count.ave_5best.pth
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python: 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:45:18) [GCC 12.3.0]
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timestamp: 1740457539.986012
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torch: 2.4.0+cu121
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yaml_files:
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s2t_train_config: exp_owsm/s2t_train_1b_ds_raw_bpe50000/config.yaml
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