Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2") 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("dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2") model = AutoModelForImageClassification.from_pretrained("dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 5ed06986c217b9a3854d12c0545c578feff3b87d3b3bccbd820adacbb93042e0
- Size of remote file:
- 3.64 kB
- SHA256:
- 29033a6dd514e0d0abc19013095a7f2cf21a96f7073d3623044f1e1f35a3970d
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