Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use GGital/vit-Covid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GGital/vit-Covid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="GGital/vit-Covid") 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("GGital/vit-Covid") model = AutoModelForImageClassification.from_pretrained("GGital/vit-Covid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca689cbee00e362d8d8dcc4e24c4ea67cf13142d38def8a4ba4d8edf4b398f29
- Size of remote file:
- 4.73 kB
- SHA256:
- 3bffb161312ff81b149854e4ed4961607f6bd7e35ee2003ff3b86fe937dc3478
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