Instructions to use brainworkup/LFM2.5-VL-3B-MLX-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/LFM2.5-VL-3B-MLX-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-VL-3B-MLX-oQ8e brainworkup/LFM2.5-VL-3B-MLX-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 662 Bytes
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"image_processor": {
"do_image_splitting": false,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"downsample_factor": 2,
"encoder_patch_size": 16,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Lfm2VlNumpyImageProcessor",
"image_std": [
0.5,
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],
"max_image_tokens": 256,
"max_num_patches": 1024,
"max_pixels_tolerance": 2.0,
"min_image_tokens": 64,
"patch_size": 16,
"rescale_factor": 0.00392156862745098,
"tile_size": 512,
"use_thumbnail": false
},
"processor_class": "Lfm2VlProcessor"
}
|