Instructions to use ProbeX/Model-J__DINO__model_idx_0781 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_0781 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_0781") 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_0781") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0781", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eddf220ede2ea8458dbafc4159ca18f3f35d5b315073cd4303510b33e4bbcf96
- Size of remote file:
- 5.37 kB
- SHA256:
- 6fcd4b0ffa46cff3aa6f2e54677896fc067e5af1069a05ca92c30d0aae268fdc
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