Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Schram03/fruits-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Schram03/fruits-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Schram03/fruits-classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Schram03/fruits-classification") model = AutoModelForImageClassification.from_pretrained("Schram03/fruits-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- May30_08-40-17_ip-10-192-12-141
- May30_09-26-00_ip-10-192-12-141
- May30_09-34-57_ip-10-192-12-141
- May30_12-38-27_ip-10-192-12-166
- May30_14-50-20_ip-10-192-12-166
- May30_15-04-27_ip-10-192-12-166
- May30_15-06-29_ip-10-192-12-166
- May30_15-10-03_ip-10-192-12-166
- May30_15-15-05_ip-10-192-12-166
- May30_15-16-36_ip-10-192-12-166
- May30_15-17-16_ip-10-192-12-166
- May30_15-19-43_ip-10-192-12-166
- May30_15-22-38_ip-10-192-12-166
- May30_15-24-24_ip-10-192-12-166
- May30_15-29-24_ip-10-192-12-166
- May30_15-34-36_ip-10-192-12-166
- May30_15-36-06_ip-10-192-12-166
- May30_15-38-50_ip-10-192-12-166
- May30_15-55-29_ip-10-192-12-166