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
Download training_args.bin from techelix/adele_hilfe_kws: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/techelix/adele_hilfe_kws/resolve/main/training_args.bin
- Command line
-
hf download hf://techelix/adele_hilfe_kws/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/techelix/adele_hilfe_kws/resolve/main/training_args.bin
4.67 kB
- Xet hash:
- d8fd717a5ab70d05df3a915cddbe77821de1da359c322a2bd3aa8e0e71662500
- Size of remote file:
- 4.67 kB
- SHA256:
- 03d2249f42dd630e2b13b80484b6c1a422476ec5143d3d2b3489c1383bb8cd3f
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