Instructions to use ProbeX/Model-J__DINO__model_idx_0121 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_0121 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_0121") 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_0121") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0121", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd0bc94ce7e7b2673d3b9535cbc2ae0c68ae649dd20e98ad521006834fcf5ba
- Size of remote file:
- 5.37 kB
- SHA256:
- 40d56929ba91f4be8ae75c02c28e31080b8e603e31768a27603f8c8f6264fac5
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