Safetensors
Transformers
English
CountGD
computer-vision
counting
grounding-dino
model_hub_mixin
multi-modal
open-vocabulary
pytorch_model_hub_mixin
Instructions to use nikigoli/CountGD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikigoli/CountGD with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nikigoli/CountGD", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Citation
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```
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@
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author = "Amini-Naieni, N. and Han, T. and Zisserman, A.",
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title = "CountGD: Multi-Modal Open-World Counting",
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booktitle = "
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year = "2024",
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}
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```
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## Citation
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```
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@inproceedings{AminiNaieni24,
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author = "Amini-Naieni, N. and Han, T. and Zisserman, A.",
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title = "CountGD: Multi-Modal Open-World Counting",
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booktitle = "NeurIPS",
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year = "2024",
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}
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```
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