Instructions to use djbp/swin-tiny-patch4-window7-224-category-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djbp/swin-tiny-patch4-window7-224-category-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="djbp/swin-tiny-patch4-window7-224-category-classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("djbp/swin-tiny-patch4-window7-224-category-classification") model = AutoModelForImageClassification.from_pretrained("djbp/swin-tiny-patch4-window7-224-category-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
model.safetensors
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runs/Jun27_08-47-10_c3df91dfd599/events.out.tfevents.1719478034.c3df91dfd599
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runs/Jun27_10-04-20_79e23ecbe329/events.out.tfevents.1719482662.79e23ecbe329
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