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:
- e2e58bbce26fd1b8f82766719dce72653f32e59e6dce7db803335683b17e6a45
- Size of remote file:
- 318 kB
- SHA256:
- 1080910dfd4fa8944dbf97d7531f6696e8962ecff7277d79c6922bf501e6a7f4
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