Instructions to use ProbeX/Model-J__DINO__model_idx_0671 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_0671 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_0671") 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_0671") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0671", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0572481504287d20dd17113f505ae3fc4a833f4df4bb6c199db6643ffc5976d
- Size of remote file:
- 343 MB
- SHA256:
- 861c2906fc076b2c23678b08b369b85c1824e30ff5792ca37dcb6f4a46d6adb7
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