Instructions to use m522t/open_groundingdino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m522t/open_groundingdino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="m522t/open_groundingdino")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m522t/open_groundingdino", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b62310a3fe9013576c3bb79965c87e1b9b3c2c234af12b7e23cb8d0eeae973f
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size 691696832
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