Instructions to use tomasolo/hubert_audio_classification_tomasolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomasolo/hubert_audio_classification_tomasolo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="tomasolo/hubert_audio_classification_tomasolo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("tomasolo/hubert_audio_classification_tomasolo") model = AutoModelForAudioClassification.from_pretrained("tomasolo/hubert_audio_classification_tomasolo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Aug05_11-50-56_b10397ea3c0b/events.out.tfevents.1691236270.b10397ea3c0b.7319.0
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