Instructions to use ProbeX/Model-J__DINO__model_idx_0810 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_0810 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_0810") 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_0810") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0810", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d37d3905918ec312f759334ae7a75b80e20ebd7f9cfb2cf25c8ea99c878d29
- Size of remote file:
- 5.37 kB
- SHA256:
- 52dce276989b24da3eaaa3a2812d0f1bbc61584b8f62241437dc66a7a4a139ab
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