Instructions to use mlx-community/Video-Depth-Anything-Large-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Video-Depth-Anything-Large-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Video-Depth-Anything-Large-MLX mlx-community/Video-Depth-Anything-Large-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -21,7 +21,7 @@ from mlx_vlm.models.video_depth_anything.generate import (
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read_video_frames,
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)
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model, processor = load("mlx-community/Video-Depth-Anything-Large-MLX")
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predictor = VideoDepthPredictor(model, processor)
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frames, fps = read_video_frames("input.mp4", max_len=300, target_fps=15)
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read_video_frames,
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)
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model, processor = load("mlx-community/Video-Depth-Anything-Large-MLX")
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predictor = VideoDepthPredictor(model, processor)
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frames, fps = read_video_frames("input.mp4", max_len=300, target_fps=15)
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