Instructions to use espnet/owsm_v4_base_102M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/owsm_v4_base_102M with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/owsm_v4_base_102M" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
add logs
Browse files- exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.1.log +0 -0
- exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.2.log +0 -0
- exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.3.log +0 -0
- exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.4.log +0 -0
- exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.log +0 -0
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exp/s2t_train_conv2d8_size384_e6_d6_mel128_raw_bpe50000/train.2.log
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