Instructions to use chrisjay/afrospeech-wav2vec-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/afrospeech-wav2vec-run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="chrisjay/afrospeech-wav2vec-run")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("chrisjay/afrospeech-wav2vec-run") model = AutoModelForAudioClassification.from_pretrained("chrisjay/afrospeech-wav2vec-run") - Notebooks
- Google Colab
- Kaggle
File size: 528 Bytes
a14186b | 1 2 3 4 5 6 7 | audio_path,transcript,lang,lang_code,gender,age,country,accent
AUDIO_HOMEPATH/data/p34rQlhMwuOkmqhltKEd8lYW2xYPN3do/audio.wav,4,rundi,run,Male,29.0,France,
AUDIO_HOMEPATH/data/tkyZJyB9IS2PJ8HNgqOybUSdnrTl48up/audio.wav,5,rundi,run,Male,29.0,France,
AUDIO_HOMEPATH/data/tF3MBOD3L6tHfmRYoO8u1kdwgUlaMPZr/audio.wav,9,rundi,run,Male,29.0,France,
AUDIO_HOMEPATH/data/Qlqz7bCCQUJuZYiTDgLxFhElL4AncAH7/audio.wav,7,rundi,run,Male,29.0,France,
AUDIO_HOMEPATH/data/EsElOIcf8DSiOTn1uoihsYiVKjDWXwKH/audio.wav,8,rundi,run,Male,25.0,France,
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