Instructions to use ProbeX/Model-J__DINO__model_idx_0581 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_0581 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_0581") 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_0581") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0581") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f2b0d72a11eeae60fb206cd6bbc0942bff51f664f0687de030d68527c9ca319
- Size of remote file:
- 5.37 kB
- SHA256:
- 73a33c9ea2c98658b2c5e4dd57a72ea43f53dcb7eef597f6f7392fe0556654e2
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