Instructions to use chrisjay/afrospeech-wav2vec-gax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/afrospeech-wav2vec-gax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="chrisjay/afrospeech-wav2vec-gax")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("chrisjay/afrospeech-wav2vec-gax") model = AutoModelForAudioClassification.from_pretrained("chrisjay/afrospeech-wav2vec-gax") - Notebooks
- Google Colab
- Kaggle
| audio_path,transcript,lang,lang_code,gender,age,country,accent | |
| AUDIO_HOMEPATH/data/4HVUPzA5dfgRfXBPpBUXU4SinMRhtBB0/audio.wav,3,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |
| AUDIO_HOMEPATH/data/gKlAe3jQJinxr0Dz1MhWadKvbygpODpv/audio.wav,7,"oromo, borana-arsi-guji",gax,Female,32.0,, | |
| AUDIO_HOMEPATH/data/aiTWEcoQRqolvmAj5199F7o0hG9i7vms/audio.wav,8,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |
| AUDIO_HOMEPATH/data/1zOxtAS9TYlZdsJAFsWo7vQOnKDC7kYZ/audio.wav,5,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |
| AUDIO_HOMEPATH/data/EsHbP4zpF42i8Sj7FIWc0FWWA79XnGmb/audio.wav,9,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |
| AUDIO_HOMEPATH/data/vw9i6XM4r3ScuqRuyCZzlTh4slPyLOYU/audio.wav,6,"oromo, borana-arsi-guji",gax,Female,32.0,, | |
| AUDIO_HOMEPATH/data/bMobvLv8zmLQXIyl6vhwIaN2qGAxDkVr/audio.wav,3,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |
| AUDIO_HOMEPATH/data/EyFRinnW0k3vANK46oKw9ARbveL9AMRD/audio.wav,2,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya, | |