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
File size: 369 Bytes
32b7847 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_name_or_path": "./checkpoints/describe_anything_v0.7.2_1ep_e2a_with_words_paug_samv2_lvisv4_mapillary_cocostuff_openimages_context_crop_constrained_blur0.5/mm_projector",
"architectures": [
"MultimodalProjector"
],
"mm_projector_type": "mlp_downsample",
"model_type": "v2l_projector",
"torch_dtype": "bfloat16",
"transformers_version": "4.36.2"
}
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