Instructions to use ProbeX/Model-J__DINO__model_idx_0424 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_0424 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_0424") 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_0424") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0424", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 782d11e6fe95ef38a63f6385e4ce30b71efe85bbb4d270b120cf1066fdc74dfa
- Size of remote file:
- 5.37 kB
- SHA256:
- b2b5e45814e6a3b3c197b0d74b397b67ee00f272cc8e278176f987f4422b850f
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