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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-data2vec-xvector: direct link, hf CLI and curl.
- Browser
- Download file 23.2 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-data2vec-xvector/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-data2vec-xvector@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-data2vec-xvector/resolve/refs%2Fpr%2F2/model.safetensors
23.2 MB
- Xet hash:
- 407fefb1f994d2a9fa438bdef449b8ed641c0a4ad3f00d76049e477b1170dd77
- Size of remote file:
- 23.2 MB
- SHA256:
- bcbdc733d0056d86e24cb2f3fd7bf9f343c1b971d2cb8f761cedfb458a71a278
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