Instructions to use darklorddad/Model-Focalnet-Base-82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darklorddad/Model-Focalnet-Base-82 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-Focalnet-Base-82") 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-Focalnet-Base-82") model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-Focalnet-Base-82") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.6602770090103149
f1_macro: 0.8156689398492805
f1_micro: 0.8262295081967214
f1_weighted: 0.8195565714293827
precision_macro: 0.8476504329004328
precision_micro: 0.8262295081967214
precision_weighted: 0.849387256641355
recall_macro: 0.8219166666666666
recall_micro: 0.8262295081967214
recall_weighted: 0.8262295081967214
accuracy: 0.8262295081967214
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Model tree for darklorddad/Model-Focalnet-Base-82
Base model
microsoft/focalnet-base