Instructions to use espnet/ml_openslr63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/ml_openslr63 with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/ml_openslr63" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Commit ·
ec1214c
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Parent(s): 2833cba
added meta
Browse files
meta.yaml
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espnet: 0.10.7a1
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files:
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asr_model_file: exp/asr_train_asr_conformer_s3prlfrontend_hubert_fused_raw_ml_bpe150_sp/valid.acc.ave_10best.pth
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lm_file: exp/lm_train_lm_ml_bpe150/valid.loss.ave_1best.pth
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python: "3.8.12 (default, Oct 12 2021, 13:49:34) \n[GCC 7.5.0]"
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timestamp: 1647732316.386252
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torch: 1.10.1
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yaml_files:
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asr_train_config: exp/asr_train_asr_conformer_s3prlfrontend_hubert_fused_raw_ml_bpe150_sp/config.yaml
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lm_train_config: exp/lm_train_lm_ml_bpe150/config.yaml
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