Instructions to use sasha/autotrain-butterfly_similarity_swin-2490776951 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasha/autotrain-butterfly_similarity_swin-2490776951 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sasha/autotrain-butterfly_similarity_swin-2490776951") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sasha/autotrain-butterfly_similarity_swin-2490776951", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2490776951
- CO2 Emissions (in grams): 28.2960
Validation Metrics
- Loss: 1.385
- Accuracy: 0.689
- Macro F1: 0.488
- Micro F1: 0.689
- Weighted F1: 0.641
- Macro Precision: 0.483
- Micro Precision: 0.689
- Weighted Precision: 0.628
- Macro Recall: 0.528
- Micro Recall: 0.689
- Weighted Recall: 0.689
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