Instructions to use ProbeX/Model-J__DINO__model_idx_0654 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_0654 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_0654") 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_0654") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0654", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab04947d1c04bead3b67825ba5aeea73a29b58260bcb38c7c7eb25d488fa1ba1
- Size of remote file:
- 5.37 kB
- SHA256:
- 53d8fb26de95e570a08a7564f796b7092603e4e0ddcbf85573c8d7386fed29b5
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