Instructions to use anderloh/TestV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/TestV3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/TestV3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/TestV3") model = AutoModelForAudioClassification.from_pretrained("anderloh/TestV3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 272
Browse files
pytorch_model.bin
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runs/Jun19_22-02-00_ml6.hpc.uio.no/events.out.tfevents.1718827334.ml6.hpc.uio.no.3866375.0
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