Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease") 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("gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease") model = AutoModelForImageClassification.from_pretrained("gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease/resolve/main/training_args.bin
- Command line
-
hf download hf://gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gianlab/swin-tiny-patch4-window7-224-finetuned-lungs-disease/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- cf2c9d86043f01a573c4776cc8da89d7499cb3c20aab09888789da77fba4f95d
- Size of remote file:
- 4.98 kB
- SHA256:
- e2add018066b7dfe592a31c7566872f49f993a4f3ae5ca106dc822acb9471e1e
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