Instructions to use Selma323/SynthLight-TorgoLight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/SynthLight-TorgoLight with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/SynthLight-TorgoLight")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/SynthLight-TorgoLight") model = AutoModelForAudioClassification.from_pretrained("Selma323/SynthLight-TorgoLight", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
model.safetensors
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