Instructions to use ProbeX/Model-J__DINO__model_idx_0666 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_0666 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_0666") 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_0666") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0666") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aef5209e7ecc3685c31adf4394398d4e200ef1eab5273f96c84c8edcb68124c
- Size of remote file:
- 5.37 kB
- SHA256:
- 0c13a272d6a39b3126ea2182a8d5f7b0a7b1e3cc2066af1e7059681038d5839d
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