Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use RohithN2004/fruitripenessv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohithN2004/fruitripenessv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="RohithN2004/fruitripenessv2") 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("RohithN2004/fruitripenessv2") model = AutoModelForImageClassification.from_pretrained("RohithN2004/fruitripenessv2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K