Instructions to use ferdinandl007/VibeKit-FLARE-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ferdinandl007/VibeKit-FLARE-Fast with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ferdinandl007/VibeKit-FLARE-Fast --local-dir VibeKit-FLARE-Fast
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from ferdinandl007/VibeKit-FLARE-Fast: direct link, hf CLI and curl.
- Browser
- Download file 894 kB
-
https://huggingface.co/ferdinandl007/VibeKit-FLARE-Fast/resolve/main/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://ferdinandl007/VibeKit-FLARE-Fast/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/ferdinandl007/VibeKit-FLARE-Fast/resolve/main/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
894 kB
- Xet hash:
- 3de85cc804d81c738b86b0cb448ba570395f0688607745ea04766c368d88ff9f
- Size of remote file:
- 894 kB
- SHA256:
- a5bed292331437ef8650d44827e0c02ab2f26cac426a0a3e992785d08966cd30
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