Instructions to use ProbeX/Model-J__DINO__model_idx_0056 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_0056 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_0056", device_map="auto") 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_0056") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0056", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b06ab11b4cae2d96a84815e515425248dd96d589cd843f33533808c2a3371dc
- Size of remote file:
- 5.37 kB
- SHA256:
- fdc6193f701a146547fc114f271181a0628c96fdd00db16aed7d42b190eb9458
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