Instructions to use ProbeX/Model-J__DINO__model_idx_0684 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_0684 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_0684") 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_0684") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0684", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7419ce810f6a8e4cd12b950f4c1758fac31d46421c31c0733b864fcc15d30a52
- Size of remote file:
- 5.37 kB
- SHA256:
- d2ca150297fc4c5ce8160615fc81971ddeb9ad8f5c4ea9b4bdbf3031d9a291ce
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