Instructions to use ProbeX/Model-J__DINO__model_idx_0447 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_0447 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_0447") 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_0447") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0447", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 000c8bbe68cc92ed5d3697b93cb270e5043c5609e39b99412d4c5d1ba305d92c
- Size of remote file:
- 5.37 kB
- SHA256:
- 68d8b4f7ee957c26d30abcd4adf4a30946683827eee5c1f6e7d915413cd4632a
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