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
- Xet hash:
- c5ec652322c83a4474374a50507a388648e52577dd52876f72db8d5aeaa31d7e
- Size of remote file:
- 823 MB
- SHA256:
- 3081c8a825493dcd9b84814b1eb3764088918fa6a18db40a43c73b39e0f4f4f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.