Instructions to use not-lain/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use not-lain/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="not-lain/distilhubert-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("not-lain/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("not-lain/distilhubert-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from not-lain/distilhubert-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/not-lain/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://not-lain/distilhubert-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/not-lain/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 5334cffb28186090a3ad811543facb8b321efef3d01a50e0c4f1c652e087cf23
- Size of remote file:
- 4.6 kB
- SHA256:
- f9bfa8d3ef40da7c744344d43eab95b76864e55c9f98ede98b525836f6c5700e
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