Instructions to use Esnider/vit_freezing_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Esnider/vit_freezing_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Esnider/vit_freezing_0") 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("Esnider/vit_freezing_0") model = AutoModelForImageClassification.from_pretrained("Esnider/vit_freezing_0") - Notebooks
- Google Colab
- Kaggle
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Model tree for Esnider/vit_freezing_0
Base model
microsoft/swin-base-patch4-window7-224 Finetuned
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