Instructions to use ProbeX/Model-J__DINO__model_idx_0927 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_0927 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_0927") 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_0927") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0927", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8da77322a8921a3a0826b42ef1e4797116e454ab6cead5248df501a51a0c05a
- Size of remote file:
- 5.37 kB
- SHA256:
- dc6472402c33b4fc32743eac72b0c1a9be4d79ce684a07a36516b63f4ef69684
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