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:
- 0d76dd1028780a3c36185683c19dd268c40b21499f5671505d8367d886019688
- Size of remote file:
- 627 Bytes
- SHA256:
- ec32b769a697437dd8fe11d81712b4a1c7668000c56fb3a98d0dd5222985d4ae
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