Instructions to use ProbeX/Model-J__DINO__model_idx_0656 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_0656 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_0656") 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_0656") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0656", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4063758f90a23111794f80a54964e04d5594b76f0116ae92edb239b726c9e331
- Size of remote file:
- 5.37 kB
- SHA256:
- 8dec2e832d3fec9f7e1734bc8ec6a0ffc88b85c248d75e95253398cc09d58548
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