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
File size: 428 Bytes
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"eval_loss": 0.2491369992494583,
"eval_runtime": 179.6938,
"eval_samples": 5785,
"eval_samples_per_second": 32.194,
"eval_steps_per_second": 4.029,
"eval_wer": 0.25884590640821237,
"train_loss": 0.0,
"train_runtime": 32.0497,
"train_samples": 23538,
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"train_steps_per_second": 2293.316
} |