Instructions to use ProbeX/Model-J__DINO__model_idx_0732 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__DINO__model_idx_0732 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__DINO__model_idx_0732") 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__DINO__model_idx_0732") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0732") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ee0094b9bcd6d403b0c3d96d38d467aa330b633cd56e52a15517d1fa293fdd7
- Size of remote file:
- 5.37 kB
- SHA256:
- a1c788bd9cef25552416d9bf46debd182274154d3db777ee671bf29c1dc78549
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