Instructions to use ProbeX/Model-J__DINO__model_idx_0820 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_0820 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_0820") 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_0820") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0820", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 073c756299a6712b152051cafc89821364d0b3b9a057193c82ebc1681ea44f34
- Size of remote file:
- 5.37 kB
- SHA256:
- 1d440f62c850f082b1347f479afee065791c8b056a12eddcaa783e02a1db2d9b
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