Instructions to use ProbeX/Model-J__DINO__model_idx_0860 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_0860 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_0860") 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_0860") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0860", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb5e36719bd95f18735a2d7b1b520691d025a9ef820c580d70b25bd05b2cddf2
- Size of remote file:
- 5.37 kB
- SHA256:
- c95b2c06cce5fc5d2fb8c0ed8353ac6d35fdfd49ed1002ffe84a972481920ec1
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