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/weights/weight.bin from ferdinandl007/VibeKit-FLARE-Fast: direct link, hf CLI and curl.
- Browser
- Download file 657 MB
-
https://huggingface.co/ferdinandl007/VibeKit-FLARE-Fast/resolve/main/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
- Command line
-
hf download hf://ferdinandl007/VibeKit-FLARE-Fast/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/ferdinandl007/VibeKit-FLARE-Fast/resolve/main/FLAREVisualEncoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
657 MB
- Xet hash:
- f14688078a5cb24b518e389eb4c5366b531c25dd9da51d86582a648693c44eaa
- Size of remote file:
- 657 MB
- SHA256:
- c63607a51aa53643e4e7f08ab471eaa70d8225fc7d580850fe22f9138ac1a4fa
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