Instructions to use ProbeX/Model-J__SupViT__model_idx_0664 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_0664 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_0664") 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_0664") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0664") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba4b12955bd61f1fcdb08e779b45725bbb277c2aec6cdb08770661643e986a6f
- Size of remote file:
- 5.37 kB
- SHA256:
- c743c1cdc4d0d31f79180a1f4981ba5dc51d753b9cfd1920864f064cccac30ed
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