Instructions to use ProbeX/Model-J__SupViT__model_idx_0640 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_0640 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_0640") 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_0640") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0640") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69b230dc64d6f65f0d72a1d8d1b7836fd6c14f46e9682cbe4c57c403cffde01e
- Size of remote file:
- 5.37 kB
- SHA256:
- d5ad858a6ec712c60a377ff2ad985a1e734cd8403c5cd52fdf120d076ebdca7a
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