Instructions to use ProbeX/Model-J__DINO__model_idx_0747 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_0747 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_0747") 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_0747") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0747") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b45001c089515e0ee79ab98ad0ea7e121c22e111262374c919832d207e9368b
- Size of remote file:
- 5.37 kB
- SHA256:
- 9e0a5d5645f287b0956ce1ff5ac3561d19aea31604c69823a924b28e23928bf2
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