Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use MakAIHealthLab/deit-tiny-patch16-224-finetuned-papsmear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MakAIHealthLab/deit-tiny-patch16-224-finetuned-papsmear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MakAIHealthLab/deit-tiny-patch16-224-finetuned-papsmear") 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("MakAIHealthLab/deit-tiny-patch16-224-finetuned-papsmear") model = AutoModelForImageClassification.from_pretrained("MakAIHealthLab/deit-tiny-patch16-224-finetuned-papsmear") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 14.805194805194805, | |
| "eval_accuracy": 0.9117647058823529, | |
| "eval_loss": 0.34208229184150696, | |
| "eval_runtime": 28.5471, | |
| "eval_samples_per_second": 4.764, | |
| "eval_steps_per_second": 0.315 | |
| } |