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
- Xet hash:
- 77798c2f1f63ff130e4b4f51a02602b942f1cdb417721405ee81a2e24df68447
- Size of remote file:
- 111 MB
- SHA256:
- 79ad29281e31261586829ec97e026b9c6cba0c214e9f1b75b2a913c70ab287a5
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