Instructions to use ProbeX/Model-J__DINO__model_idx_0672 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_0672 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_0672") 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_0672") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0672") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e50ac3d526b50a688f2bbd9286826cd584da62a95e32800dc354d50222eb3e8
- Size of remote file:
- 5.37 kB
- SHA256:
- 6c6858dcaea25f2ec677941be763f1ebb9972fc50764ed97856a9101f5c81a48
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