Instructions to use chaphoto/autotrain-test3-3741499455 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaphoto/autotrain-test3-3741499455 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chaphoto/autotrain-test3-3741499455") 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("chaphoto/autotrain-test3-3741499455") model = AutoModelForImageClassification.from_pretrained("chaphoto/autotrain-test3-3741499455") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3741499455
- CO2 Emissions (in grams): 6.5539
Validation Metrics
- Loss: 0.355
- Accuracy: 0.982
- Macro F1: 0.983
- Micro F1: 0.982
- Weighted F1: 0.982
- Macro Precision: 0.983
- Micro Precision: 0.982
- Weighted Precision: 0.983
- Macro Recall: 0.983
- Micro Recall: 0.982
- Weighted Recall: 0.982
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