Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Uzbek
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use lucio/xls-r-uzbek-cv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucio/xls-r-uzbek-cv8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lucio/xls-r-uzbek-cv8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lucio/xls-r-uzbek-cv8") model = AutoModelForCTC.from_pretrained("lucio/xls-r-uzbek-cv8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf4dd626a0d86163b304bc6ec8a99c9d2eba3d0ce344c906384b662f5b2613e9
- Size of remote file:
- 3.06 kB
- SHA256:
- e07ae4abc8c48013db20dc56c875f2a1b7115ee1ed5e58dc64886f0b18aec42a
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