Instructions to use ProbeX/Model-J__DINO__model_idx_0626 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_0626 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_0626") 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_0626") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0626", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92dfe10f14de081c02495a6b8e0bbcc878e62bbcb4d33332873e52efe8d60baf
- Size of remote file:
- 5.37 kB
- SHA256:
- 3192459e4bfe27690c30f6b2d2916f053a4a278330f6d5a91139ffdbc228ff73
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