Instructions to use espnet/ta_openslr127 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/ta_openslr127 with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/ta_openslr127" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Fixed README.md typo
Browse files- README.md +0 -1
- exp/lm_train_lm_ta_bpe1000/.DS_Store +0 -0
README.md
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- pytorch version: `pytorch 2.9.1+cu128`
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- Git hash: `e02e6f79766aa12a13327af8b537543966613500`
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- Commit date: `Sun Jun 7 11:03:05 2026 -0400`
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- Pretrained Model:
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## exp/asr_train_asr_raw_ta_bpe1000_accum_grad1_sp
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- pytorch version: `pytorch 2.9.1+cu128`
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- Git hash: `e02e6f79766aa12a13327af8b537543966613500`
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- Commit date: `Sun Jun 7 11:03:05 2026 -0400`
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## exp/asr_train_asr_raw_ta_bpe1000_accum_grad1_sp
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exp/lm_train_lm_ta_bpe1000/.DS_Store
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