Instructions to use ProbeX/Model-J__DINO__model_idx_0473 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_0473 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_0473") 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_0473") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0473", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8e3eed76b9ea55bfea6de0063e17033b3227830fd56c633c6c6688a0eb0845a
- Size of remote file:
- 5.37 kB
- SHA256:
- 24034b05e0191e9ce4fd6e3dd6e30d406d0a5b175333094bad02a3d3dbb22b08
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