Instructions to use IDEA-Research/grounding-dino-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-Research/grounding-dino-base 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-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("IDEA-Research/grounding-dino-base") model = AutoModelForZeroShotObjectDetection.from_pretrained("IDEA-Research/grounding-dino-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from IDEA-Research/grounding-dino-base: direct link, hf CLI and curl.
- Browser
- Download file 936 MB
-
https://huggingface.co/IDEA-Research/grounding-dino-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://IDEA-Research/grounding-dino-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/IDEA-Research/grounding-dino-base/resolve/main/pytorch_model.bin
936 MB
- Xet hash:
- 964bf8cde7a35ac6f93f128351a2fe2878645c3b1d2e30adfa73e93e29c98212
- Size of remote file:
- 936 MB
- SHA256:
- 4b51daf2969525a12df8f074b1f6084a69cd2796a565396ea1f4dfb7e5431aaa
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