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
File size: 401 Bytes
14bf67f | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
} |