Instructions to use hf-internal-testing/tiny-random-WavLMForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WavLMForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-WavLMForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-WavLMForXVector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0a0d6397bb98c6cd6a43e6276edb3ee2a6d2bcc1357dea78ae85c66d2540c07
- Size of remote file:
- 183 kB
- SHA256:
- 9133daa77456e33761f023c81bc5c8a785deac64986a990261b3f0735f67393f
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