Instructions to use ilsp/wav2vec2-xls-r-slavic-pomak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilsp/wav2vec2-xls-r-slavic-pomak with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilsp/wav2vec2-xls-r-slavic-pomak")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilsp/wav2vec2-xls-r-slavic-pomak") model = AutoModelForCTC.from_pretrained("ilsp/wav2vec2-xls-r-slavic-pomak") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 641fd3d19b2e57ab2ef4abdeeaf1486c05c2d1acc94f0178f2c16aa4139dc05a
- Size of remote file:
- 1.26 GB
- SHA256:
- c854ed9023a83f6504842df011c84dddf8471dd075cbeb7cfbf15058c57cc2e1
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