Instructions to use chrisjay/afrospeech-wav2vec-sna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/afrospeech-wav2vec-sna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="chrisjay/afrospeech-wav2vec-sna")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("chrisjay/afrospeech-wav2vec-sna") model = AutoModelForAudioClassification.from_pretrained("chrisjay/afrospeech-wav2vec-sna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 657 Bytes
1a6bde5 | 1 2 3 4 5 6 7 8 | audio_path,transcript,lang,lang_code,gender,age,country,accent
AUDIO_HOMEPATH/data/R6W5zU8ezS1V76stFCCwXZPPbwxhltrJ/audio.wav,0,shona,sna,Male,34.0,Australia,Shona
AUDIO_HOMEPATH/data/8wO2rBjlXFkaBU11BhFXZ8JEgTIY0USA/audio.wav,4,shona,sna,Male,23.0,Zimbabwe,
AUDIO_HOMEPATH/data/3Ojig6rJkV2UvnRrqCpF8CWxQUaVlojm/audio.wav,2,shona,sna,Male,34.0,Australia,Shona
AUDIO_HOMEPATH/data/ImBUzQW22uPvBx46BR3gkc6iqC7NzRvw/audio.wav,5,shona,sna,Male,34.0,Australia,Shona
AUDIO_HOMEPATH/data/vudM0Q3QhYQRUSxnWwZLQJPFSpL1S9rk/audio.wav,7,shona,sna,Male,34.0,Australia,Shona
AUDIO_HOMEPATH/data/M2G2KFjKpMSEvijN6txPxeDm4UlkbMqr/audio.wav,2,shona,sna,Male,23.0,Zimbabwe,
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