Instructions to use ProbeX/Model-J__DINO__model_idx_0421 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_0421 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_0421") 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_0421") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0421", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e565051909ca3c3d67717d205ba432908e87a442d3fd1bf7589d2b02e01ea28
- Size of remote file:
- 5.37 kB
- SHA256:
- 6370d5b8ac152a43ae9084a34c9eb242c4f2d5619b0e20d8a86cd6a6ecd0cc7b
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