Instructions to use Andron00e/ViTForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/ViTForImageClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Andron00e/ViTForImageClassification") 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("Andron00e/ViTForImageClassification") model = AutoModelForImageClassification.from_pretrained("Andron00e/ViTForImageClassification") - Notebooks
- Google Colab
- Kaggle
File size: 204 Bytes
8697aff | 1 2 3 4 5 6 7 8 | {
"epoch": 4.0,
"eval_accuracy": 0.9678333333333333,
"eval_loss": 0.11992065608501434,
"eval_runtime": 169.7399,
"eval_samples_per_second": 35.348,
"eval_steps_per_second": 0.554
} |