Automatic Speech Recognition
Transformers
Safetensors
Yoruba
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use EYEDOL/whisper-tiny-yoruba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/whisper-tiny-yoruba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EYEDOL/whisper-tiny-yoruba")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EYEDOL/whisper-tiny-yoruba") model = AutoModelForSpeechSeq2Seq.from_pretrained("EYEDOL/whisper-tiny-yoruba") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98f28c34a3b5b4cc5477b29696c5d197f1a468f9cd6b29fad339d3051c315790
- Size of remote file:
- 5.39 kB
- SHA256:
- 8dfa613adb7d5e6b5d0d343e8bf07f97242a81e7855b845be5169f5b9727dcd1
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