Instructions to use ccibeekeoc42/whisper-small-yoruba-07-17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccibeekeoc42/whisper-small-yoruba-07-17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ccibeekeoc42/whisper-small-yoruba-07-17")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ccibeekeoc42/whisper-small-yoruba-07-17") model = AutoModelForSpeechSeq2Seq.from_pretrained("ccibeekeoc42/whisper-small-yoruba-07-17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2750
Browse files
model.safetensors
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runs/Jul17_12-53-15_8499af3fe3b5/events.out.tfevents.1721220798.8499af3fe3b5.31229.0
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