Instructions to use hf-internal-testing/tiny-random-Data2VecAudioForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecAudioForXVector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForAudioXVector tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForXVector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e901ffd49c4b6c39ca68a381e5d00e801d942756c8b7840c8fcb0094208804dc
- Size of remote file:
- 344 kB
- SHA256:
- 12e3a9b6ef0b99cfcd07bbdcc96efd9ee087e6b742c7b5bdddd38099d7cbc6b9
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