Instructions to use wcosmas/resnet-18-finetuned-papsmear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wcosmas/resnet-18-finetuned-papsmear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="wcosmas/resnet-18-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("wcosmas/resnet-18-finetuned-papsmear") model = AutoModelForImageClassification.from_pretrained("wcosmas/resnet-18-finetuned-papsmear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 46.15384615384615, | |
| "total_flos": 5.704428204815155e+17, | |
| "train_loss": 0.40061683946185644, | |
| "train_runtime": 12238.3074, | |
| "train_samples_per_second": 5.001, | |
| "train_steps_per_second": 0.037 | |
| } |