Automatic Speech Recognition
Transformers
PyTorch
JAX
Kyrgyz
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use anton-l/wav2vec2-large-xlsr-53-kyrgyz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/wav2vec2-large-xlsr-53-kyrgyz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton-l/wav2vec2-large-xlsr-53-kyrgyz")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-large-xlsr-53-kyrgyz") model = AutoModelForCTC.from_pretrained("anton-l/wav2vec2-large-xlsr-53-kyrgyz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a74f74d21482c7dd8a304df1d9fb4e454a790090f1987847e8625636ac9a3dff
- Size of remote file:
- 1.26 GB
- SHA256:
- 9c3ededd823ab36303aa23bbb8e9f5dbce66db7654c4c8a0b1923e4ce89b3086
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