Instructions to use Augusto777/swinv2-tiny-patch4-window8-256-ve-RXX40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Augusto777/swinv2-tiny-patch4-window8-256-ve-RXX40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Augusto777/swinv2-tiny-patch4-window8-256-ve-RXX40") 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("Augusto777/swinv2-tiny-patch4-window8-256-ve-RXX40") model = AutoModelForImageClassification.from_pretrained("Augusto777/swinv2-tiny-patch4-window8-256-ve-RXX40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 20
Verified signature4cbe3c9 -
Training in progress, epoch 18
Verified signatureebaf15a -
Training in progress, epoch 16
Verified signature6fd588d -
Training in progress, epoch 14
Verified signature4b42160 -
Training in progress, epoch 12
Verified signature5c27da9 -
Training in progress, epoch 10
Verified signaturebcf0361 -
Training in progress, epoch 8
Verified signature6fc47d1 -
Training in progress, epoch 6
Verified signature5ce9d0f -
Training in progress, epoch 4
Verified signature0c16c67 -
Training in progress, epoch 2
Verified signaturea1eb49b -
Training in progress, epoch 0
Verified signature609f62b