Instructions to use ProbeX/Model-J__DINO__model_idx_0921 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_0921 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_0921") 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_0921") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0921", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f81885e44413b9ed9dfd733a0a2ee865e295595e6bc9ad26f7990c56f58c0729
- Size of remote file:
- 5.37 kB
- SHA256:
- 768b8ec59af44a5b9d3919fc6a3fb0ca0b7964cf09c0f552e2cb171e3cabb1cc
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