Instructions to use ProbeX/Model-J__DINO__model_idx_0648 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_0648 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_0648") 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_0648") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0648", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86ab7afd1ba58395ac53a8c493f7f1958fdef07a883d539429d9fa798ab99187
- Size of remote file:
- 5.37 kB
- SHA256:
- 7e8e90b72b6dd9f3d804c4e066fab7797bb454a4de3a1ef817424a110480f596
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