Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt") 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("Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt") model = AutoModelForImageClassification.from_pretrained("Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
b23163d -
Model save
16aa1dd -
Training in progress, epoch 9
2c98481 -
Training in progress, epoch 8
05a7bdc -
Training in progress, epoch 7
cad6740 -
Training in progress, epoch 7
e9531e6 -
Training in progress, epoch 5
a1fa94a -
Training in progress, epoch 4
b510bd2 -
Training in progress, epoch 3
0702c1e -
Training in progress, epoch 2
3850e30 -
Training in progress, epoch 1
2be8439 -
Training in progress, epoch 0
7f5807c -
initial commit
7ea0bf0