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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 968424d7a2cf8ff854d6cf45e7f0f8da5f8a93f37d1f451f15d762255a4d420a
- Size of remote file:
- 5.39 kB
- SHA256:
- 4766595198c1ecca288fe0ec2eb2eb8a88b804b90656ecc234bc23f328fe2aff
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