Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use douwekiela/resnet-18-finetuned-dogfood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use douwekiela/resnet-18-finetuned-dogfood with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="douwekiela/resnet-18-finetuned-dogfood") 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("douwekiela/resnet-18-finetuned-dogfood") model = AutoModelForImageClassification.from_pretrained("douwekiela/resnet-18-finetuned-dogfood", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 202 Bytes
12d8ab0 | 1 2 3 4 5 6 7 8 | {
"epoch": 1.0,
"eval_accuracy": 0.9155555555555556,
"eval_loss": 0.26624444127082825,
"eval_runtime": 2.5669,
"eval_samples_per_second": 87.654,
"eval_steps_per_second": 3.117
} |