Instructions to use ProbeX/Model-J__DINO__model_idx_0763 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_0763 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_0763") 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_0763") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0763", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd4310cb5c041f3e8804c12cd378e3c0e94edbb39efc59cad09d8b3833c069ec
- Size of remote file:
- 5.37 kB
- SHA256:
- fa706e3212325a7e3032138f5c83d3499a34f74aa65e12d5ffe764d0e75a7133
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