Instructions to use ProbeX/Model-J__DINO__model_idx_0442 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_0442 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_0442") 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_0442") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0442") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f05f51b401cd7d91ea0f2d96b039c9a48668c33f76f67ca86d84fde9e641a1a2
- Size of remote file:
- 5.37 kB
- SHA256:
- f0689a40e40dd3399a8df47f384cda82edad9e5855ccf8fd4a1f3118562ab418
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