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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59d4bffbe85753d35ecbdd610585fb4ec07df9f0b7916d133bd2abd0f394def3
- Size of remote file:
- 967 MB
- SHA256:
- 330a26fc4b6d70eb1d1e3948e3de2c002d6d10ef2fd94bec793e5690651c9c75
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