Instructions to use Rickyfwh/autotrain-js-classfication-test-2-43390110454 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rickyfwh/autotrain-js-classfication-test-2-43390110454 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Rickyfwh/autotrain-js-classfication-test-2-43390110454") 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("Rickyfwh/autotrain-js-classfication-test-2-43390110454") model = AutoModelForImageClassification.from_pretrained("Rickyfwh/autotrain-js-classfication-test-2-43390110454") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 43390110454
- CO2 Emissions (in grams): 3.4952
Validation Metrics
- Loss: 0.750
- Accuracy: 0.751
- Macro F1: 0.678
- Micro F1: 0.751
- Weighted F1: 0.746
- Macro Precision: 0.726
- Micro Precision: 0.751
- Weighted Precision: 0.753
- Macro Recall: 0.665
- Micro Recall: 0.751
- Weighted Recall: 0.751
- Downloads last month
- 4