Instructions to use ProbeX/Model-J__SupViT__model_idx_0897 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__SupViT__model_idx_0897 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__SupViT__model_idx_0897") 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("ProbeX/Model-J__SupViT__model_idx_0897") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0897") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d229377f36d5cf5aa88d01e84e8b33701fdde2d3bacf965b55581f912c5769
- Size of remote file:
- 5.37 kB
- SHA256:
- 6725b4dbcd549afb1ed86dd3b3c25c5d072b3fb03a4fbade8e1eb92c62249fd4
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