garnagar

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whisper-tiny-libirClean-vs-commonNative

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="garnagar/whisper-tiny-libirClean-vs-commonNative")

# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq

processor = AutoProcessor.from_pretrained("garnagar/whisper-tiny-libirClean-vs-commonNative")
model = AutoModelForSpeechSeq2Seq.from_pretrained("garnagar/whisper-tiny-libirClean-vs-commonNative")