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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 083cbf31c543920a9c66186d71da4a8b33ec2f143f110028aa0edb80b0610775
- Size of remote file:
- 515 kB
- SHA256:
- ea4fa641d3f94d1888b1256ea88f556f596cf0b46c97e4f84f17d909c74b83cc
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