Instructions to use ProbeX/Model-J__DINO__model_idx_0680 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_0680 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_0680") 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_0680") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0680") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a7d13a6d40db8f06f50910119da1a768d3dd7820b01e38e52b4cef790a4a3ec
- Size of remote file:
- 5.37 kB
- SHA256:
- 8d7cc42b0ba43dc3cb5836bd950a10ca4d395c40e16407354022ba5e3dcfcb65
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