Instructions to use mlx-community/SmolVLM2-500M-Video-Instruct-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/SmolVLM2-500M-Video-Instruct-mlx with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("mlx-community/SmolVLM2-500M-Video-Instruct-mlx") model = AutoModelForImageTextToText.from_pretrained("mlx-community/SmolVLM2-500M-Video-Instruct-mlx") - MLX
How to use mlx-community/SmolVLM2-500M-Video-Instruct-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SmolVLM2-500M-Video-Instruct-mlx mlx-community/SmolVLM2-500M-Video-Instruct-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Manually update processor, for now. Part of https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct/commit/d52b9cddd52922722e9e0780315d209dd8311f45.
#1
by pcuenq HF Staff - opened