Automatic Speech Recognition
NeMo
PyTorch
Swahili
speech
Swahili
audio
CTC
Conformer
Transformer
NeMo
Instructions to use de-coder/stt_sw_ctc_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use de-coder/stt_sw_ctc_model with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("de-coder/stt_sw_ctc_model") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Upload STT_SW_Model.nemo
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