Instructions to use ProbeX/Model-J__DINO__model_idx_0708 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_0708 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_0708") 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_0708") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0708") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b048b1d5106d573fdb8239d8051fbd8b1a7cf491bd3419f32f590bdfb75ec2e
- Size of remote file:
- 5.37 kB
- SHA256:
- f37efee9190b64f202373c4c11d61b8a8f566d1c9cf96721d9486752a97e9a9f
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