Instructions to use ProbeX/Model-J__DINO__model_idx_0599 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_0599 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_0599") 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_0599") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0599") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7f13f74e48e138f6e335a89b757e6322ad79d2f28eaded65611decfcb408f90
- Size of remote file:
- 5.37 kB
- SHA256:
- 3190d9e206bcded01dabf0ccbf29f4378f6bd3bee3b7c2773ec1e90199e1059e
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