Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use eeizenman/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eeizenman/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="eeizenman/distilhubert-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("eeizenman/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("eeizenman/distilhubert-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eeizenman/distilhubert-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/eeizenman/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://eeizenman/distilhubert-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eeizenman/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 27540b0812e014916534ca777bbf0804f3e953e149c656b86659b014e44bcdde
- Size of remote file:
- 5.37 kB
- SHA256:
- 5895a9b2b22588a936df92722738c6c9e36bebe2e43d4835f972f495be56a6da
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