Instructions to use Felguk/Felguk-suno-or-people with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felguk/Felguk-suno-or-people with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Felguk/Felguk-suno-or-people")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Felguk/Felguk-suno-or-people") model = AutoModelForAudioClassification.from_pretrained("Felguk/Felguk-suno-or-people", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bash
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pip install transformers
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```
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##
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```bash
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[
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{"label": "suno", "score": 0.95},
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{"label": "people", "score": 0.05}
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]
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```
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```bash
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pip install transformers
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```
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#### example
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```bash
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[
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{"label": "suno", "score": 0.95},
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{"label": "people", "score": 0.05}
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]
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