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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ece76a8ce300c6df9be10759fa8fb670feb224df23452d8b0ba815394ab2f2f
- Size of remote file:
- 4.79 kB
- SHA256:
- 8f678cc05c722cdd4a166528548fd4a1f013e280b8bc715ea7aa36c18d1edc89
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