Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
convnext
vision
Generated from Trainer
Instructions to use davanstrien/convnext-tiny-224-leicester_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext-tiny-224-leicester_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext-tiny-224-leicester_binary") 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("davanstrien/convnext-tiny-224-leicester_binary") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext-tiny-224-leicester_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
c4a840c | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 1.0,
"eval_accuracy": 0.9166666666666666,
"eval_f1": 0.4782608695652174,
"eval_loss": 0.4212849736213684,
"eval_precision": 0.4583333333333333,
"eval_recall": 0.5,
"eval_runtime": 11.3877,
"eval_samples_per_second": 6.323,
"eval_steps_per_second": 0.088
} |