Instructions to use ProbeX/Model-J__DINO__model_idx_0017 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_0017 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_0017") 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_0017") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0017", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b945b1c202047d1ebf285d4bc538e6bfe49fa6d1ef3e72bbfdf2fdbeabbe63b
- Size of remote file:
- 5.37 kB
- SHA256:
- d067d1bf3972aab1c86163cf0019c8d458a60f51df5e609637cc8c687f0f728a
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