# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("OttoYu/Tree-Inspection")
model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-Inspection")Quick Links
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 87833143598
- CO2 Emissions (in grams): 2.1482
Validation Metrics
- Loss: 1.251
- Accuracy: 0.652
- Macro F1: 0.594
- Micro F1: 0.652
- Weighted F1: 0.620
- Macro Precision: 0.629
- Micro Precision: 0.652
- Weighted Precision: 0.642
- Macro Recall: 0.617
- Micro Recall: 0.652
- Weighted Recall: 0.652
- Downloads last month
- 16
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OttoYu/Tree-Inspection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")