Instructions to use AlanRobotics/whisper-small-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/whisper-small-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AlanRobotics/whisper-small-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AlanRobotics/whisper-small-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("AlanRobotics/whisper-small-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44dfd54ca48bf401b13260aaeff78153addf30c1fb1294e9448099f13f7c9f29
- Size of remote file:
- 4.16 kB
- SHA256:
- b6338a88d28851858b44a06ea1b67a597603f453b3f3a1b5bedf84e790857adf
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