Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Uzbek
wav2vec2
pretraining
mozilla-foundation/common_voice_10_0
Generated from Trainer
Instructions to use vodiylik/xls-r-uzbek-cv10-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vodiylik/xls-r-uzbek-cv10-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vodiylik/xls-r-uzbek-cv10-full")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("vodiylik/xls-r-uzbek-cv10-full") model = AutoModelForPreTraining.from_pretrained("vodiylik/xls-r-uzbek-cv10-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c8246d3b81f94eb25dc822ada2243dc72da47329bc3a98c77f58dbad05afa81
- Size of remote file:
- 3.06 kB
- SHA256:
- 68cd067c9de8b7cc29ad7cdfabf6c48590d9ff327f02ddf02abde2f54382bd8a
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