Automatic Speech Recognition
Transformers
PyTorch
Swahili
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use hedronstone/whisper-small-sw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hedronstone/whisper-small-sw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hedronstone/whisper-small-sw")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hedronstone/whisper-small-sw") model = AutoModelForSpeechSeq2Seq.from_pretrained("hedronstone/whisper-small-sw") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
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Space using hedronstone/whisper-small-sw 1
Evaluation results
- Wer on Common Voice 11.0test set self-reported27.840