Instructions to use Barani1-t/hubert-base-ls960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barani1-t/hubert-base-ls960 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Barani1-t/hubert-base-ls960")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Barani1-t/hubert-base-ls960") model = AutoModelForAudioClassification.from_pretrained("Barani1-t/hubert-base-ls960", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
af85b38 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:affde726ebf214ee5344d6bcb0ea90bdba8d1b2091657a10ef35eedc5d6f336c
size 4536
|