Instructions to use mlx-vision/vit_small_patch14_518.dinov2-mlxim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mlx-image
How to use mlx-vision/vit_small_patch14_518.dinov2-mlxim with mlx-image:
from mlxim.model import create_model model = create_model(mlx-vision/vit_small_patch14_518.dinov2-mlxim)
- MLX
How to use mlx-vision/vit_small_patch14_518.dinov2-mlxim with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir vit_small_patch14_518.dinov2-mlxim mlx-vision/vit_small_patch14_518.dinov2-mlxim
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download attention_maps.png from mlx-vision/vit_small_patch14_518.dinov2-mlxim: direct link, hf CLI and curl.
- Browser
- Download file 2 MB
-
https://huggingface.co/mlx-vision/vit_small_patch14_518.dinov2-mlxim/resolve/main/attention_maps.png
- Command line
-
hf download hf://mlx-vision/vit_small_patch14_518.dinov2-mlxim/attention_maps.png
-
curl -L -o attention_maps.png https://huggingface.co/mlx-vision/vit_small_patch14_518.dinov2-mlxim/resolve/main/attention_maps.png
2 MB

- Xet hash:
- ec2131da8467d8b66d8d625e71ab353840fc02c7b1a015781733025bb498e211
- Size of remote file:
- 2 MB
- SHA256:
- f1c0da60068ade915b75a61017adaf4fc6ebf493112b4ffc9ce7c0787177a391
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