Automatic Speech Recognition
Transformers
PyTorch
JAX
Kyrgyz
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use kyrgyz-ai/Wav2vec-Kyrgyz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyrgyz-ai/Wav2vec-Kyrgyz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kyrgyz-ai/Wav2vec-Kyrgyz")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kyrgyz-ai/Wav2vec-Kyrgyz") model = AutoModelForCTC.from_pretrained("kyrgyz-ai/Wav2vec-Kyrgyz") - Notebooks
- Google Colab
- Kaggle
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## Training
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The Common Voice `train` and `validation` datasets were used for training.
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## Training
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The Common Voice `train` and `validation` datasets were used for training.
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# Credits
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- Adilzhan Ismailov (Fine-tuning) ([HF](https://huggingface.co/aismlv))
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- The Cramer Project [Official Space](https://thecramer.com/)
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