Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForXVector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df764eeba806abf190229e143c8cb4ebb6316533ce78d4566b50602e60eb0a5c
- Size of remote file:
- 184 kB
- SHA256:
- 902d6d67c6544847b4bb688edb704881aca62ff5b0ce1abefc38202672d69da1
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