Automatic Speech Recognition
NeMo
PyTorch
German
speech
audio
CTC
Conformer
Transformer
NeMo
Eval Results (legacy)
Instructions to use iqbalc/stt_de_conformer_transducer_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use iqbalc/stt_de_conformer_transducer_large with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("iqbalc/stt_de_conformer_transducer_large") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
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README.md
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language:
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license: cc-by-4.0
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library_name: nemo
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datasets:
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### Transcribing using Python
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```
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simply do:
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```
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asr_model.transcribe(['filename.wav'])
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```
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### Transcribing many audio files
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---
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language:
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license: cc-by-4.0
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library_name: nemo
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datasets:
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### Transcribing using Python
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```
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asr_model.transcribe(['filename.wav'])
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```
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### Transcribing many audio files
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