Instructions to use LenixC/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LenixC/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="LenixC/distilhubert-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("LenixC/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("LenixC/distilhubert-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LenixC/distilhubert-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/LenixC/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://LenixC/distilhubert-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LenixC/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- eabd59f7e5b10e889ce2afbd9abcca50348a81456176b94db404fe59ed1ded5c
- Size of remote file:
- 3.96 kB
- SHA256:
- b2cf77dc308ab8b02664b8032d357098137162e4cb16c1bdf2f2edde91535761
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