Instructions to use hf-tiny-model-private/tiny-random-Wav2Vec2ForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-Wav2Vec2ForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Wav2Vec2ForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-tiny-model-private/tiny-random-Wav2Vec2ForXVector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
e7aa65c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ef3404fc21ef1ffb9167dd4bf93a1e13104cd4b6ae6dacbd3adfa8917f5eb565
size 183743
|