Instructions to use monomyth/fly-brain-codex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use monomyth/fly-brain-codex with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download monomyth/fly-brain-codex --local-dir fly-brain-codex
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download training-bundle.tar.gz from monomyth/fly-brain-codex: direct link, hf CLI and curl.
- Browser
- Download file 8.43 MB
-
https://huggingface.co/monomyth/fly-brain-codex/resolve/main/training-bundle.tar.gz
- Command line
-
hf download hf://monomyth/fly-brain-codex/training-bundle.tar.gz
-
curl -L -o training-bundle.tar.gz https://huggingface.co/monomyth/fly-brain-codex/resolve/main/training-bundle.tar.gz
8.43 MB
- Xet hash:
- 2e1fe36a74237da72e96923d5c3a69e367589a7e38cd16c4a327944d6cd106f8
- Size of remote file:
- 8.43 MB
- SHA256:
- 8e037331728227deb6eeb49a8037618ccea07fa7955bd5d2d7e6bf7403f82c99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.