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Note: Quality caveat: model is whisper-tiny-igbo (39M params, 4 layers); audited at 157% WER. Limited capacity at this parameter size; for production use we recommend anopenai/whisper-large-v3multilingual fallback.
safetensors/ subfolder.1from transformers import WhisperForConditionalGeneration, WhisperProcessor
2processor = WhisperProcessor.from_pretrained("WindyWord/listen-windy-lingua-ig", subfolder="safetensors")
3model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-ig", subfolder="safetensors")