Instructions to use nvidia/DAM-3B-Self-Contained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Describe Anything
How to use nvidia/DAM-3B-Self-Contained 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-Self-Contained, local_dir="checkpoints") dam = DescribeAnythingModel( model_path="checkpoints", conv_mode="v1", prompt_mode="focal_prompt", )
- Notebooks
- Google Colab
- Kaggle
Add license to model metadata (#2)
Browse files- Add license to model metadata (bf4185997d6f0c6abbdd90c98084de12c9874b93)
Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>
README.md
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base_model:
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- Efficient-Large-Model/VILA1.5-3b
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pipeline_tag: image-text-to-text
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---
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# Describe Anything: Detailed Localized Image and Video Captioning
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base_model:
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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-Self-Contained/blob/main/LICENSE
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# Describe Anything: Detailed Localized Image and Video Captioning
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