Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use dacunaq/vit-base-patch32-384-finetuned-humid-classes-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dacunaq/vit-base-patch32-384-finetuned-humid-classes-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dacunaq/vit-base-patch32-384-finetuned-humid-classes-21") 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("dacunaq/vit-base-patch32-384-finetuned-humid-classes-21") model = AutoModelForImageClassification.from_pretrained("dacunaq/vit-base-patch32-384-finetuned-humid-classes-21") - Notebooks
- Google Colab
- Kaggle
| ,dry,firm,humid,lump,rockies | |
| dry,3,0,0,0,0 | |
| firm,0,14,0,0,0 | |
| humid,0,0,5,0,0 | |
| lump,0,0,1,17,0 | |
| rockies,0,0,1,0,2 | |