Instructions to use ProbeX/Model-J__DINO__model_idx_0621 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_0621 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_0621") 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_0621") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0621", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74f9f7197c1266623cb222a76a08bd7d58e6f2c60efb49d4bab183e2af83719a
- Size of remote file:
- 5.37 kB
- SHA256:
- e220f0ed24a97effc0be4044b19ae0e8734e77339bb9cc234bc2355f7afd57cf
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