Instructions to use ProbeX/Model-J__DINO__model_idx_0860 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_0860 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_0860") 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_0860") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0860", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac861d643a5f4dfb1ad03ba4298ce424020e171d89ed11c4c13a18c8311f4212
- Size of remote file:
- 343 MB
- SHA256:
- 856199fc8563fb6fb508fd2273e76e737617b6d5a94da5d4911bda52703cd4ab
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