Instructions to use ProbeX/Model-J__DINO__model_idx_0307 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_0307 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_0307") 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_0307") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0307", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acce625d4c626be049b81ddba80c43b3e5a9aaa9358313f63d8a0ad49111027a
- Size of remote file:
- 343 MB
- SHA256:
- 6bd217647e2e3987e9d18b250903d81c1129d3c3fc6476d7f1f4b58cc24d81ca
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