Instructions to use IDEA-Research/grounding-dino-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-Research/grounding-dino-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="IDEA-Research/grounding-dino-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("IDEA-Research/grounding-dino-tiny") model = AutoModelForZeroShotObjectDetection.from_pretrained("IDEA-Research/grounding-dino-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd69ee6a8ea84981f9043ac62f9b229e2629bda9d90d0dd06d5ead80ef5506a
- Size of remote file:
- 692 MB
- SHA256:
- f4d69c8403b9a569d90362c5fe8c6ea93dee4c8f08166df5b39e5eca8d227bbe
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