Instructions to use ProbeX/Model-J__DINO__model_idx_0421 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_0421 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_0421") 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_0421") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0421") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2936b6442252adb71b3f68a91cd9169a34eea86d0ec654d4da9815fbdb48c88a
- Size of remote file:
- 343 MB
- SHA256:
- 2dc755c290bac711eb5b7aaa9d0316018ea90644f4e13ca64c579f05b51d243e
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