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")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("techelix/adele_hilfe_kws") model = AutoModelForAudioClassification.from_pretrained("techelix/adele_hilfe_kws") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("techelix/adele_hilfe_kws")
model = AutoModelForAudioClassification.from_pretrained("techelix/adele_hilfe_kws")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
pipe = pipeline('audio-classification',model='techelix/adele_hilfe_kws')
prediction = pipe('audio.wav')
print(prediction)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="techelix/adele_hilfe_kws")