Instructions to use SMLBuilder/TinkyBrain-31M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SMLBuilder/TinkyBrain-31M with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TinkyBrain-31M SMLBuilder/TinkyBrain-31M
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- c251e4c6ee41aebc08fa9f7ba08c398838594be27b36658c0a2d20e00469c461
- Size of remote file:
- 2.35 MB
- SHA256:
- c4cf5e53c3653355110b0d3abc61f3b7f8e4f7b18072d219568621d2f48569d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.