Instructions to use ProbeX/Model-J__DINO__model_idx_0857 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_0857 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_0857") 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_0857") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0857", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58f6dd19b4e6435ef9d396ab46eb3030281bab7098042d194c369a2f8d19655c
- Size of remote file:
- 5.37 kB
- SHA256:
- 9efc7f3a86447af1f6f30544bb7d4240c912a4f9c75dd62e0ec081de1cf8eaf5
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