Instructions to use techelix/adele_hilfe_kws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techelix/adele_hilfe_kws with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="techelix/adele_hilfe_kws")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("techelix/adele_hilfe_kws") model = AutoModelForAudioClassification.from_pretrained("techelix/adele_hilfe_kws", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
7db841b | 1 2 3 4 5 6 7 8 | ```
pipe = pipeline('audio-classification',model='techelix/adele_hilfe_kws')
prediction = pipe('audio.wav')
print(prediction)
``` |