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
| {"a": 1, "b": 2, "c": 3, "d": 4, "e": 5, "f": 6, "g": 7, "h": 8, "i": 9, "j": 10, "k": 11, "l": 12, "m": 13, "n": 14, "o": 15, "p": 16, "q": 17, "r": 18, "s": 19, "t": 20, "u": 21, "v": 22, "w": 23, "x": 24, "y": 25, "z": 26, "‘": 27, "’": 28, "|": 0, "[UNK]": 29, "[PAD]": 30} |