Instructions to use Efimov6886/row3_96 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Efimov6886/row3_96 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Efimov6886/row3_96") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Efimov6886/row3_96", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2405775204
- CO2 Emissions (in grams): 0.3576
Validation Metrics
- Loss: 0.268
- Accuracy: 0.960
- Macro F1: 0.946
- Micro F1: 0.960
- Weighted F1: 0.960
- Macro Precision: 0.966
- Micro Precision: 0.960
- Weighted Precision: 0.964
- Macro Recall: 0.934
- Micro Recall: 0.960
- Weighted Recall: 0.960
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