How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="goran/whisper-small.mk")
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq

processor = AutoProcessor.from_pretrained("goran/whisper-small.mk")
model = AutoModelForSpeechSeq2Seq.from_pretrained("goran/whisper-small.mk")
Quick Links

OpenAI Whisper на Македонски јазик

Loss: 0.54 WER: 54

Fine tuning dataset

Common Voice Corpus 11.0

Initial observations

Although using an old dataset from 2022, the results show great performance compared to Wav2Vec 2.0

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Model size
0.2B params
Tensor type
F32
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