Instructions to use anderloh/NyTestModell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/NyTestModell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/NyTestModell")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/NyTestModell") model = AutoModelForAudioClassification.from_pretrained("anderloh/NyTestModell") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646dc7641eb5af3764f7a7e36439e25aaf6504fff4d4c5e50732524ceded8764
- Size of remote file:
- 52.2 MB
- SHA256:
- 64c3e244c3329efe2b605842412c75f54854659e62c0f2622ebb1a31c9ea0b64
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