Instructions to use ProbeX/Model-J__SupViT__model_idx_0629 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_0629 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_0629") 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_0629") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0629") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01aae60bd39c4406582e494f6410c73d2568c8a60a7dc9fcc513f35b3852f780
- Size of remote file:
- 5.37 kB
- SHA256:
- ae01ddc89914d5797bc24cedd82a8170042274f491bac7f9e7911e5be3a6f4d0
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