Instructions to use ProbeX/Model-J__DINO__model_idx_0847 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_0847 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_0847") 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_0847") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0847", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05f8bffd6b1ed428da6fe75eb55aac3a6d483f7d13f1d3ccc72b2a4215f2c47d
- Size of remote file:
- 5.37 kB
- SHA256:
- d6bacc82523b1e59abaac741a2d98f910d973b125ea9565fb571cae4a5eb9959
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