Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use CodingQueen13/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodingQueen13/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="CodingQueen13/distilhubert-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("CodingQueen13/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("CodingQueen13/distilhubert-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CodingQueen13/distilhubert-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/CodingQueen13/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://CodingQueen13/distilhubert-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodingQueen13/distilhubert-finetuned-gtzan/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- dbed2fec1a834c446493c59ecf7e633da01dc4d1f4ab7c293309761cebfee8fa
- Size of remote file:
- 5.24 kB
- SHA256:
- 095806fbca72dee4125ff567c1a2948823844addc04636f26cdd81c3d15dbe10
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