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
Training in progress, epoch 17
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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