Instructions to use ProbeX/Model-J__DINO__model_idx_0784 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_0784 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_0784") 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_0784") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0784") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1403ceadcad30a89cf9fd884a156d6004ecabd9e4e4e67e3d1d19cdfd61b3d18
- Size of remote file:
- 5.37 kB
- SHA256:
- 0c07118ebf9499dd465a739fd9bfefb9f94ba52d6c03502b31d6bcc6be660878
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