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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6462ccc7bc8d19ad1de00000e1008f854f69f341ace1211520a5733584abeefc
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size 1261971432
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