Instructions to use espnet/Karthik_sinhala_asr_train_asr_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/Karthik_sinhala_asr_train_asr_transformer with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/Karthik_sinhala_asr_train_asr_transformer" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
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license: cc-by-4.0
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## ESPnet2 ASR pretrained model
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### `
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This model was trained by Karthik using sinhala/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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license: cc-by-4.0
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---
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## ESPnet2 ASR pretrained model
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### `espnet/Karthik_sinhala_asr_train_asr_transformer`
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This model was trained by Karthik using sinhala/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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