Instructions to use chanhua/autotrain-82nel-cfd2f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chanhua/autotrain-82nel-cfd2f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chanhua/autotrain-82nel-cfd2f") 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("chanhua/autotrain-82nel-cfd2f") model = AutoModelForImageClassification.from_pretrained("chanhua/autotrain-82nel-cfd2f") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metricsg
loss: nan
f1_macro: 0.06666666666666668
f1_micro: 0.20000000000000004
f1_weighted: 0.06666666666666668
precision_macro: 0.04
precision_micro: 0.2
precision_weighted: 0.04
recall_macro: 0.2
recall_micro: 0.2
recall_weighted: 0.2
accuracy: 0.2
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