Instructions to use SLPL/Sharif-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SLPL/Sharif-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SLPL/Sharif-wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SLPL/Sharif-wav2vec2") model = AutoModelForCTC.from_pretrained("SLPL/Sharif-wav2vec2") - Notebooks
- Google Colab
- Kaggle
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by SaraSadeghi - opened
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### Contributions
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Thanks to [@sarasadeghii](https://github.com/Sarasadeghii) and [@sadrasabouri](https://github.com/sadrasabouri) for adding this
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### Contributions
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Thanks to [@sarasadeghii](https://github.com/Sarasadeghii) and [@sadrasabouri](https://github.com/sadrasabouri) for adding this model.
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