Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Chuvash
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="alexantonov/whisper-small-chv-pre")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq

processor = AutoProcessor.from_pretrained("alexantonov/whisper-small-chv-pre")
model = AutoModelForSpeechSeq2Seq.from_pretrained("alexantonov/whisper-small-chv-pre", device_map="auto")
Quick Links

whisper-small-cv-pre

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 (Chuvash part) and the Chuvash Voice datasets.

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Model size
0.2B params
Tensor type
F32
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Datasets used to train alexantonov/whisper-small-chv-pre