Automatic Speech Recognition
NeMo
PyTorch
Bambara
speech
audio
CTC
QuartzNet
legacy-model
deprecated
Bambara
NeMo
Eval Results (legacy)
Instructions to use RobotsMali/anbekalanNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RobotsMali/anbekalanNet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RobotsMali/anbekalanNet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06e4450785b01d42cee9f06f54119bbd7808f4aabf3cb9c3ec61a738fac96661
- Size of remote file:
- 76.5 MB
- SHA256:
- 6f93029f8195b20c300d54637815433cb7f3e54d080b8a6df1541944dda951aa
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