Instructions to use mrzbrt/distilhubert-finetuned-multi-label_Processes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrzbrt/distilhubert-finetuned-multi-label_Processes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mrzbrt/distilhubert-finetuned-multi-label_Processes")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mrzbrt/distilhubert-finetuned-multi-label_Processes") model = AutoModelForAudioClassification.from_pretrained("mrzbrt/distilhubert-finetuned-multi-label_Processes") - Notebooks
- Google Colab
- Kaggle