Instructions to use ProbeX/Model-J__DINO__model_idx_0607 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_0607 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_0607") 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_0607") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0607", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ec0a70936b766411ab5c199e07f792a39531c7d5fd68a1b59eaaea20f60f24c
- Size of remote file:
- 5.37 kB
- SHA256:
- 9d3b722c44b2b0dcaba924662cbe7c7745417b0de1bc460fff3d359de0422d0d
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