Instructions to use AlanRobotics/whisper-tiny-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/whisper-tiny-ru with Transformers:
# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: automatic-speech-recognition
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WER: 39.94944808049233
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learning epochs: 1
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pipeline_tag: automatic-speech-recognition
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# Model
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Модель whisper- tiny (39 M параметров), зафайнтюненная для русского языка
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WER: 39.94944808049233
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learning epochs: 1
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