Instructions to use darklorddad/Model-ConvNeXt-V2-Tiny-86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darklorddad/Model-ConvNeXt-V2-Tiny-86 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-ConvNeXt-V2-Tiny-86") 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("darklorddad/Model-ConvNeXt-V2-Tiny-86") model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-ConvNeXt-V2-Tiny-86") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.4874517321586609
f1_macro: 0.8614755130490426
f1_micro: 0.8672131147540983
f1_weighted: 0.8635818012481463
precision_macro: 0.8762433261183261
precision_micro: 0.8672131147540983
precision_weighted: 0.8772513188086958
recall_macro: 0.864452380952381
recall_micro: 0.8672131147540983
recall_weighted: 0.8672131147540983
accuracy: 0.8672131147540983
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Model tree for darklorddad/Model-ConvNeXt-V2-Tiny-86
Base model
facebook/convnextv2-tiny-22k-224