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:
- 407fefb1f994d2a9fa438bdef449b8ed641c0a4ad3f00d76049e477b1170dd77
- Size of remote file:
- 23.2 MB
- SHA256:
- bcbdc733d0056d86e24cb2f3fd7bf9f343c1b971d2cb8f761cedfb458a71a278
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.