Automatic Speech Recognition
Transformers
ONNX
Safetensors
Igbo
whisper
igbo
asr
on-device
olu-igbo
Eval Results (legacy)
Instructions to use theelvace/whisper-small-igbo-25k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theelvace/whisper-small-igbo-25k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="theelvace/whisper-small-igbo-25k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("theelvace/whisper-small-igbo-25k") model = AutoModelForSpeechSeq2Seq.from_pretrained("theelvace/whisper-small-igbo-25k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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