Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use UrukHan/wav2vec2-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UrukHan/wav2vec2-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UrukHan/wav2vec2-russian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("UrukHan/wav2vec2-russian") model = AutoModelForCTC.from_pretrained("UrukHan/wav2vec2-russian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51dba6a6062ddc6554a3fff74adee947d678d202ca2ff7496d0c80b74f03564d
- Size of remote file:
- 1.26 GB
- SHA256:
- 83d1071eab0cf98b467287c393d1c87c83b36a24c5921e87ae6816524bf63542
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