Instructions to use ProbeX/Model-J__DINO__model_idx_0728 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_0728 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_0728") 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_0728") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0728") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf14b06afeceb5f0d811bb33803bfc3ab972fe0c7d6c43183f58879749467308
- Size of remote file:
- 5.37 kB
- SHA256:
- 9ad97329d9fa969f6bd97f1dcc8d4af5185534544dca3297d0242b256395ab26
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