Instructions to use ProbeX/Model-J__DINO__model_idx_0686 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_0686 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_0686") 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_0686") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0686", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e3a72c400f08079e364d04eaa3ba21360f8eef3e3812689e69d076125603480
- Size of remote file:
- 5.37 kB
- SHA256:
- fe93175aa29134fbd05963a310bf2b5f65f5973eae006c1cc37198e6e24f33b9
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