Image Classification
Transformers
PyTorch
TensorBoard
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use thean/backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thean/backup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="thean/backup") 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("thean/backup") model = AutoModelForImageClassification.from_pretrained("thean/backup") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d72eee3d472f63a00e6a39ff8df969ab7544d4496429f8fba7fac65f1eb46a38
- Size of remote file:
- 111 MB
- SHA256:
- 247aaf284709e1e7f9339f7482a242c44d984d6f224cff9fc952d173c0fce7b9
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