Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use djbp/swin-tiny-patch4-window7-224-MM_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-MM_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-MM_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-MM_Classification") model = AutoModelForImageClassification.from_pretrained("djbp/swin-tiny-patch4-window7-224-MM_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from djbp/swin-tiny-patch4-window7-224-MM_Classification: direct link, hf CLI and curl.
- Browser
- Download file 4.8 kB
-
https://huggingface.co/djbp/swin-tiny-patch4-window7-224-MM_Classification/resolve/dbf8caed9cbb04a00a548134d9817f8c85a747e8/training_args.bin
- Command line
-
hf download hf://djbp/swin-tiny-patch4-window7-224-MM_Classification@dbf8caed9cbb04a00a548134d9817f8c85a747e8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/djbp/swin-tiny-patch4-window7-224-MM_Classification/resolve/dbf8caed9cbb04a00a548134d9817f8c85a747e8/training_args.bin
4.8 kB
- Xet hash:
- 287cee587f64ccbcef81c823c80536fef86302ffc6bd44d000bd77b137b1ba7b
- Size of remote file:
- 4.8 kB
- SHA256:
- 466b143edb46153bf6d123014dc78e50dbc5825147a56b59b873fd9358d6e52e
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