Instructions to use Ammok/my_audio_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammok/my_audio_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ammok/my_audio_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ammok/my_audio_model") model = AutoModelForAudioClassification.from_pretrained("Ammok/my_audio_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Aug11_08-35-30_e8224e15c013/events.out.tfevents.1691742932.e8224e15c013.532.5
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