Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use pk3388/swinv2-tiny-patch4-window8-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pk3388/swinv2-tiny-patch4-window8-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pk3388/swinv2-tiny-patch4-window8-256") 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("pk3388/swinv2-tiny-patch4-window8-256") model = AutoModelForImageClassification.from_pretrained("pk3388/swinv2-tiny-patch4-window8-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 8
Verified signature3de4298 -
Training in progress, epoch 7
Verified signaturede33c70 -
Training in progress, epoch 6
Verified signaturebd004e5 -
Training in progress, epoch 5
Verified signature789e133 -
Training in progress, epoch 4
Verified signaturede6068b -
Training in progress, epoch 3
Verified signature62dd1c9 -
Training in progress, epoch 2
Verified signaturedbd3a18 -
Training in progress, epoch 1
Verified signature0e0bc30