Instructions to use YosefA/wave2vec2_amharic_stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use YosefA/wave2vec2_amharic_stt with speechbrain:
from speechbrain.pretrained import EncoderASR model = EncoderASR.from_hparams( "YosefA/wave2vec2_amharic_stt" ) model.transcribe_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb2b1fa766364659db37a7692a94b9425bcb7f4e682c8786dec78e5762fa4e60
- Size of remote file:
- 240 kB
- SHA256:
- 1cf499a5d4545bc8f1b082f9b332ece68f17695b2d0b21a7d9dc7bcd84b33889
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