Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use junkmind/my_awesome_mind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junkmind/my_awesome_mind with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="junkmind/my_awesome_mind")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("junkmind/my_awesome_mind") model = AutoModelForAudioClassification.from_pretrained("junkmind/my_awesome_mind", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Jul26_05-49-50_6a69b6d1783f/events.out.tfevents.1690350601.6a69b6d1783f.3962.0
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