Instructions to use ProbeX/Model-J__DINO__model_idx_0604 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_0604 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_0604") 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_0604") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0604", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edd373e6a60fc96907dc2d4f354be8a2892eca9b2a6b515568c3444de99173a6
- Size of remote file:
- 343 MB
- SHA256:
- 8ea7fd4653b6b5b5d35cb365ad0859ce13f631cac0c5fc56fbc750e996d92726
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