Instructions to use ProbeX/Model-J__DINO__model_idx_0642 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_0642 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_0642") 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_0642") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0642", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54ac17c7f2e63a70cec28c77776cd838a9004fe2679adc06881ca9b562c13572
- Size of remote file:
- 5.37 kB
- SHA256:
- 918d37c1aa7604ad688dcbeb669d7db4943478a2bbc7d2c47bb3ab97a65e68ef
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