Automatic Speech Recognition
Transformers
PyTorch
Russian
whisper
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="AlanRobotics/whisper-tiny-ru")
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq

processor = AutoProcessor.from_pretrained("AlanRobotics/whisper-tiny-ru")
model = AutoModelForSpeechSeq2Seq.from_pretrained("AlanRobotics/whisper-tiny-ru")
Quick Links

Model

Модель whisper- tiny (39 M параметров), зафайнтюненная для русского языка

Fine- tuning

learning epochs: 1

learning rate: 1e-6

parameters: 39 M

Evaluation

Тестовый датасет common_voice_11_0, ru

AlanRobotics/whisper-tiny-ru WER: 39.9

openai/whisper-tiny WER: 56.5

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