Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a679aba8669f154b288763a1be81f82bbd053fddbb627412d8c6d1774f6fd29
- Size of remote file:
- 214 kB
- SHA256:
- 32ecc15fedc5f69feebb11446fedbdcf8d50e69e66718710499cb85592b22ee6
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