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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 604d153cd084bec2568833fe9812a34f9d179a2e5c0ba632a86c370bdd8aac93
- Size of remote file:
- 151 MB
- SHA256:
- a3c26d16a680d2820058d893d580cd1797fe66d05212c012681612e46c0e0d1e
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