Instructions to use ProbeX/Model-J__DINO__model_idx_0814 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_0814 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_0814") 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_0814") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0814", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a94ac3e9422262c4611584c8bcb2a89381cc2049627b8f6fee74a61139a8a123
- Size of remote file:
- 5.37 kB
- SHA256:
- ac73af87d66944518efcd663597fa570579816801ee6545d5a4aa6086fd927da
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