Instructions to use KaushalB/ViTForMusicClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KaushalB/ViTForMusicClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="KaushalB/ViTForMusicClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("KaushalB/ViTForMusicClassification") model = AutoModelForImageClassification.from_pretrained("KaushalB/ViTForMusicClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 203 Bytes
b41ee08 | 1 2 3 4 5 6 7 8 | {
"epoch": 20.0,
"eval_accuracy": 0.7354497354497355,
"eval_loss": 0.8083848357200623,
"eval_runtime": 1.8368,
"eval_samples_per_second": 102.896,
"eval_steps_per_second": 6.533
} |