Instructions to use shahukareem/hedhikaa-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahukareem/hedhikaa-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shahukareem/hedhikaa-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shahukareem/hedhikaa-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059
Validation Metrics
- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976
- Downloads last month
- 4