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