Instructions to use ProbeX/Model-J__DINO__model_idx_0604 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_0604 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_0604", device_map="auto") 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_0604") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0604", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ccd25d16461c946d5a6d5ec1b9ff4a205d8063915de72d9b9e0448f3dd76024
- Size of remote file:
- 5.37 kB
- SHA256:
- f9bf24109f8b350fef72533985f670733867ab0f07da2ac3f84d785c21f8820d
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