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
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README.md
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- Pytorch 1.12.0
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- Datasets 2.4.0
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- Tokenizers 0.10.3
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- Pytorch 1.12.0
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- Datasets 2.4.0
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- Tokenizers 0.10.3
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### Credits
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Author: Shukrullo Turgunov (aka Vodiylik)
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