Instructions to use ProbeX/Model-J__DINO__model_idx_0760 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_0760 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_0760") 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_0760") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0760", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae98a5edcf0df6595ecc8642eeb16de5f395ee875aeef338a8ca417a8ca05cd9
- Size of remote file:
- 5.37 kB
- SHA256:
- 46741cfb57039303e838f21b9af2a706054c118b4593b05fcb92cf4379b4ff44
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