Visual Question Answering
Transformers
Safetensors
MLX
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use mlx-community/VL-Rethinker-72B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/VL-Rethinker-72B-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="mlx-community/VL-Rethinker-72B-fp16")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mlx-community/VL-Rethinker-72B-fp16") model = AutoModelForMultimodalLM.from_pretrained("mlx-community/VL-Rethinker-72B-fp16", device_map="auto") - MLX
How to use mlx-community/VL-Rethinker-72B-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VL-Rethinker-72B-fp16 mlx-community/VL-Rethinker-72B-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Ctrl+K
- 1.57 kB
- 654 Bytes
- 605 Bytes
- 1.05 kB
- 5.12 kB
- 268 Bytes
- 1.67 MB
- 5.17 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 4.73 GB xet
- 109 kB
- 653 Bytes
- 613 Bytes
- 11.4 MB xet
- 7.37 kB
- 2.78 MB