Instructions to use ProbeX/Model-J__DINO__model_idx_0321 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_0321 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_0321") 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_0321") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0321") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c883c0b897663e7da4425574f14406cc10156eae2f34584ee9ebff83a226c3d
- Size of remote file:
- 5.37 kB
- SHA256:
- 27a93cdd51e7fde4d5054e1504782b015b26627ec70d28c388fe1bb77e6eac85
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