Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use artyomboyko/whisper-small-ru-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artyomboyko/whisper-small-ru-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artyomboyko/whisper-small-ru-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artyomboyko/whisper-small-ru-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("artyomboyko/whisper-small-ru-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an Russian part of the Common Voice 15 dataset.
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It achieves the following results on the evaluation set:
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# Whisper-small-ru-v2
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an Russian part of the Common Voice 15 dataset.
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It achieves the following results on the evaluation set:
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