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:
- 16874d8ac7c53fec39c9c380b799168533cf90319400e011fba68e20e6ace100
- Size of remote file:
- 2.49 GB
- SHA256:
- a5f8299516b9ad5674adea7e55b1c7a95d926f40cfd3442aefdc924a8f07d12e
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