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
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Download README.md from techelix/adele_hilfe_kws: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
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https://huggingface.co/techelix/adele_hilfe_kws/resolve/main/README.md
- Command line
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hf download hf://techelix/adele_hilfe_kws/README.md
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curl -L -o README.md https://huggingface.co/techelix/adele_hilfe_kws/resolve/main/README.md
132 Bytes
pipe = pipeline('audio-classification',model='techelix/adele_hilfe_kws')
prediction = pipe('audio.wav')
print(prediction)