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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc20e3a2586ae59c5fea0fad72b72636fbab2ed4baef4d86665b7297c8e6e31
- Size of remote file:
- 938 MB
- SHA256:
- 7e3baed25e5299034301b00c2647fb23503dd306c468259114a4957198424e4c
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