Automatic Speech Recognition
Transformers
Safetensors
Wolaytta
whisper
african-languages
waxal
waxalnet
Instructions to use waxal-benchmarking/whisper-tiny-waxal-wal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waxal-benchmarking/whisper-tiny-waxal-wal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="waxal-benchmarking/whisper-tiny-waxal-wal")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("waxal-benchmarking/whisper-tiny-waxal-wal") model = AutoModelForSpeechSeq2Seq.from_pretrained("waxal-benchmarking/whisper-tiny-waxal-wal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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