Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use rukundob451/convnext-tiny-224-finetuned-papsmear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rukundob451/convnext-tiny-224-finetuned-papsmear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rukundob451/convnext-tiny-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("rukundob451/convnext-tiny-224-finetuned-papsmear") model = AutoModelForImageClassification.from_pretrained("rukundob451/convnext-tiny-224-finetuned-papsmear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 14.805194805194805, | |
| "eval_accuracy": 0.7794117647058824, | |
| "eval_loss": 0.6032511591911316, | |
| "eval_runtime": 28.9923, | |
| "eval_samples_per_second": 4.691, | |
| "eval_steps_per_second": 0.31, | |
| "total_flos": 4.55564191810388e+17, | |
| "train_loss": 0.9492872991059956, | |
| "train_runtime": 4189.5915, | |
| "train_samples_per_second": 4.382, | |
| "train_steps_per_second": 0.068 | |
| } |