Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use model-man/ast-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use model-man/ast-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="model-man/ast-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("model-man/ast-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("model-man/ast-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from model-man/ast-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 345 MB
-
https://huggingface.co/model-man/ast-finetuned-gtzan/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://model-man/ast-finetuned-gtzan/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/model-man/ast-finetuned-gtzan/resolve/main/pytorch_model.bin
345 MB
- Xet hash:
- d3164ef8e30fd9cdc2e563a990a08b811c8b91319fa14a4f4ca2966db71984e0
- Size of remote file:
- 345 MB
- SHA256:
- 45d84e44e076d39c6daf4e3fd7ca9389789c686ff7edea60239b402fb82064a7
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