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:
- f3ed3d4c7d51a1479930eba92efda55a8f02696af1e38c79ec4c7614485f1f73
- Size of remote file:
- 3.64 kB
- SHA256:
- 3c3c0fd013aeeb31c04363116eb17010e8356d94af1eff566cd9e2e854b96dc9
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