Instructions to use flax-community/wav2vec2-base-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/wav2vec2-base-persian with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("flax-community/wav2vec2-base-persian") model = AutoModelForPreTraining.from_pretrained("flax-community/wav2vec2-base-persian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dda470a795f6313d1a6d19943be02d540c25f54c71270c7cdd416d41b0dc9e6b
- Size of remote file:
- 191 MB
- SHA256:
- 125089cce859edbdf55397344aa7dd774a1cec71bfb4e68c5f78bb91f343cfa7
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