Instructions to use ProbeX/Model-J__DINO__model_idx_0778 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_0778 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_0778") 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_0778") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0778", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c06350d41c67eb998b30007e643a600c6be14192ee636e6a520c0a24c67e03f
- Size of remote file:
- 343 MB
- SHA256:
- b038106deb6dc3546120c7e1f9b545f8971f2d673d99a210b8c9c469714aaba5
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