Instructions to use mlx-community/Qwen3-VL-Reranker-2B-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/Qwen3-VL-Reranker-2B-5bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mlx-community/Qwen3-VL-Reranker-2B-5bit") model = AutoModelForMultimodalLM.from_pretrained("mlx-community/Qwen3-VL-Reranker-2B-5bit", device_map="auto") - MLX
How to use mlx-community/Qwen3-VL-Reranker-2B-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Qwen3-VL-Reranker-2B-5bit --local-dir Qwen3-VL-Reranker-2B-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download vocab.json from mlx-community/Qwen3-VL-Reranker-2B-5bit: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/mlx-community/Qwen3-VL-Reranker-2B-5bit/resolve/main/vocab.json
- Command line
-
hf download hf://mlx-community/Qwen3-VL-Reranker-2B-5bit/vocab.json
-
curl -L -o vocab.json https://huggingface.co/mlx-community/Qwen3-VL-Reranker-2B-5bit/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.