Instructions to use ProbeX/Model-J__DINO__model_idx_0708 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_0708 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_0708") 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_0708") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0708") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e9f1d6f022fa648db0a0a86fa7d77b148ef461d8a8b7f20e6da9bac1f9c8f5
- Size of remote file:
- 343 MB
- SHA256:
- 1b9e5489cf7ed839feaecca83880f8080d92e6759593178a5ccb64dc72767228
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