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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- HuggingFaceM4/the_cauldron |
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- HuggingFaceM4/Docmatix |
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pipeline_tag: video-text-to-text |
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language: |
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- en |
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base_model: |
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- HuggingFaceTB/SmolLM2-360M-Instruct |
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- google/siglip-base-patch16-512 |
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- HuggingFaceTB/SmolVLM2-500M-Video-Instruct |
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tags: |
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- mlx |
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--- |
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|
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# HuggingFaceTB/SmolVLM2-500M-Video-Instruct-mlx |
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This model was converted to MLX format from [`HuggingFaceTB/SmolVLM2-500M-Video-Instruct`]() using mlx-vlm version **0.1.13**. |
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Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct) for more details on the model. |
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## Use with mlx |
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```bash |
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pip install -U mlx-vlm |
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``` |
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```bash |
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python -m mlx_vlm.generate --model mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision --image https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg --prompt "Can you describe this image?" |
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``` |
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