Instructions to use mlx-community/Qwen3-VL-Reranker-2B-4bit 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-4bit 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-4bit") model = AutoModelForMultimodalLM.from_pretrained("mlx-community/Qwen3-VL-Reranker-2B-4bit", device_map="auto") - MLX
How to use mlx-community/Qwen3-VL-Reranker-2B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Qwen3-VL-Reranker-2B-4bit --local-dir Qwen3-VL-Reranker-2B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 133 Bytes
374a7dc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
size 11422650
|