Instructions to use ProbeX/Model-J__DINO__model_idx_0699 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_0699 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_0699") 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_0699") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0699") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8167c7b89c87d40a7acedf41f304de4397e526eb143fd1978c57318a3da06f46
- Size of remote file:
- 5.37 kB
- SHA256:
- f584a65d560ae5d7d4a4f5b33eab4f807caf0697b6365deb8aa4c761841f6494
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