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
- Xet hash:
- 7d0fb2dbf2e2aff5004a2a8bbcfbb681a05081f3196984c662943de7784ca33d
- Size of remote file:
- 151 MB
- SHA256:
- 6f800253f5e212e9842e1e52b022bf55e6add86f758f1f4deade58c96cd6ffa4
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