Instructions to use hf-internal-testing/tiny-random-data2vec-xvector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-data2vec-xvector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForAudioXVector tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-data2vec-xvector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-data2vec-xvector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2c7d9e865444aac64426b2efdbcd293ddd715315daaae2ff505e9fe586a4f8b
- Size of remote file:
- 23.2 MB
- SHA256:
- 5f3c16790384e259b2b74894aab56f3514d2edf89388fbefda5950e7886785e1
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