Audio Classification
Transformers
PyTorch
TensorBoard
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use nic70/distilhubert-finetuned-gtzan-rev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nic70/distilhubert-finetuned-gtzan-rev1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="nic70/distilhubert-finetuned-gtzan-rev1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("nic70/distilhubert-finetuned-gtzan-rev1") model = AutoModelForAudioClassification.from_pretrained("nic70/distilhubert-finetuned-gtzan-rev1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot