Automatic Speech Recognition
Transformers
Safetensors
Yoruba
whisper
yoruba
africa
low-resource
speech-recognition
devblock
Eval Results (legacy)
Instructions to use devblockHQ/eti-yoruba-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devblockHQ/eti-yoruba-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devblockHQ/eti-yoruba-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devblockHQ/eti-yoruba-asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("devblockHQ/eti-yoruba-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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