Instructions to use nvidia/DAM-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Describe Anything
How to use nvidia/DAM-3B with Describe Anything:
# pip install git+https://github.com/NVlabs/describe-anything from huggingface_hub import snapshot_download from dam import DescribeAnythingModel snapshot_download(nvidia/DAM-3B, local_dir="checkpoints") dam = DescribeAnythingModel( model_path="checkpoints", conv_mode="v1", prompt_mode="focal_prompt", )
- Notebooks
- Google Colab
- Kaggle
Adding library_name to model card
#3
by sergiopaniego HF Staff - opened
README.md
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@@ -9,6 +9,7 @@ pipeline_tag: image-text-to-text
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license: other
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license_name: nvidia-non-commercial-license
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license_link: https://huggingface.co/nvidia/DAM-3B/blob/main/LICENSE
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---
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# Describe Anything: Detailed Localized Image and Video Captioning
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license: other
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license_name: nvidia-non-commercial-license
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license_link: https://huggingface.co/nvidia/DAM-3B/blob/main/LICENSE
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library_name: describe-anything
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---
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# Describe Anything: Detailed Localized Image and Video Captioning
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