Audio Classification
Transformers
PyTorch
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use ampclass/AST_EGTZAN_PLUS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ampclass/AST_EGTZAN_PLUS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ampclass/AST_EGTZAN_PLUS")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("ampclass/AST_EGTZAN_PLUS") model = AutoModelForAudioClassification.from_pretrained("ampclass/AST_EGTZAN_PLUS") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2c5250bb062221127895fd81be052296d53970fce0935880b3a44a471a4cd54
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size 344820808
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