Instructions to use ProbeX/Model-J__DINO__model_idx_0958 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_0958 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_0958") 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_0958") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0958") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f9b6b81052d22f1c72a0548a8e2d665210ff6ca2753d2142471f31346b13be
- Size of remote file:
- 5.37 kB
- SHA256:
- 983f31892d22250ba19ed079381946726307ab91295ab816eb35fec32b2e51a9
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