Instructions to use ProbeX/Model-J__SupViT__model_idx_0806 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_0806 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_0806") 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_0806") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0806") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bffb445dacbd43cbc10138d23e92a663ef5f303d56e83b22fe743cf017badca3
- Size of remote file:
- 5.37 kB
- SHA256:
- 63179d7b4d2502e5fc3f2dcf616b6cc66c886b5e91d6cea14f639d93b1423df9
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