Instructions to use bond005/wav2vec2-base-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/wav2vec2-base-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bond005/wav2vec2-base-ru")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bond005/wav2vec2-base-ru") model = AutoModelForCTC.from_pretrained("bond005/wav2vec2-base-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80e9b012138fdf36b793431cd4de6cacf8aec8ff9e24571bc2a36b9c542122e5
- Size of remote file:
- 378 MB
- SHA256:
- 58459ee7655f2325cd488dc9573813d5ec47d23fe6b4c32f3630785a1c213919
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