Instructions to use scrappylabsai/warble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scrappylabsai/warble with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scrappylabsai/warble --local-dir warble
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mlx-4bit/tokenizer_config.json from scrappylabsai/warble: direct link, hf CLI and curl.
- Browser
- Download file 861 kB
-
https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/tokenizer_config.json
- Command line
-
hf download hf://scrappylabsai/warble/mlx-4bit/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/tokenizer_config.json
861 kB
File too large to display, you can check the raw version instead.