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:
- 3e7b79db4a8ce9ff56600df237b2a96da5b5271c308aa1a26b9b81e2e479d9e4
- Size of remote file:
- 14.6 kB
- SHA256:
- cf893b16f17408fec1ecf14a11c8fcb078ec42d8751a9a4bb4b8bd106a8940fa
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