Instructions to use ProbeX/Model-J__DINO__model_idx_0217 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_0217 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_0217") 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_0217") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0217") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b0a7a8a369161e74392d174bc6e580667106cd45770a0ebd5d696cd63e819bb
- Size of remote file:
- 5.37 kB
- SHA256:
- 61846e3b8bee8404e6a69240e4df0f673dabc645ab8d70effdf4097c8c52e0f1
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