Instructions to use Anguuuuus/enhanced_german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/enhanced_german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/enhanced_german")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/enhanced_german") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/enhanced_german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/enhanced_german: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Anguuuuus/enhanced_german/resolve/main/training_args.bin
- Command line
-
hf download hf://Anguuuuus/enhanced_german/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/enhanced_german/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 2758551f1a3b94d65ea33ad369bc9d3fb705ad2c4a40fcbc0b7036304a871880
- Size of remote file:
- 4.6 kB
- SHA256:
- b3cff08aeb9d3cd7fb8fb7aa77bfc799a493daa2f481e946da8acdef47260e59
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