Instructions to use mlx-community/clip-vit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/clip-vit-base-patch32 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir clip-vit-base-patch32 mlx-community/clip-vit-base-patch32
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 545552beec7898e211fc61564da3ab78149077adc16573696e8b729c3d1677f5
- Size of remote file:
- 605 MB
- SHA256:
- b229c997386e782871326fc383811d500229492759165b8b05567bff267a0402
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.