Instructions to use ProbeX/Model-J__DINO__model_idx_0955 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_0955 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_0955") 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_0955") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0955") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e43139e97252ef718289d0aadeb2e21c6b9c7df60e8a13503b1eb83cffd27648
- Size of remote file:
- 5.37 kB
- SHA256:
- d774920aa9b4f2564d23121181cd4efb75f65ce8c0e6383bd6b8dfec9095fb4c
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