Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Afrikaans
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Ari/whisper-small-af-za with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ari/whisper-small-af-za with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ari/whisper-small-af-za")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ari/whisper-small-af-za") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ari/whisper-small-af-za") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 612ef25cc9d31fcc59832a6dff351b62efb0ad9591668c46825ea5a7236e44d4
- Size of remote file:
- 3.64 kB
- SHA256:
- 1e9661253318619e683c3f771aff0480195f02db9643a28271795390cdaa8775
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