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
Download preprocessor_config.json from YosefA/wave2vec2_amharic_stt: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/YosefA/wave2vec2_amharic_stt/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://YosefA/wave2vec2_amharic_stt/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/YosefA/wave2vec2_amharic_stt/resolve/main/preprocessor_config.json
171 Bytes
| { | |
| "do_normalize": true, | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } |