Instructions to use snolyai/resultsfinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snolyai/resultsfinal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="snolyai/resultsfinal")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("snolyai/resultsfinal") model = AutoModelForAudioClassification.from_pretrained("snolyai/resultsfinal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a82dbf39d888f4522abb62cad5b04f23e82c456a3f3cc34ce330a707d088fd1
- Size of remote file:
- 3.9 kB
- SHA256:
- 19dc0514b334df13f3781cd31eb9fc290fe058a4a1d76623e3f4f8152311bb9a
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