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.json from scrappylabsai/warble: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/tokenizer.json
- Command line
-
hf download hf://scrappylabsai/warble/mlx-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scrappylabsai/warble/resolve/main/mlx-4bit/tokenizer.json
12.2 MB
- Xet hash:
- ab939bfbfdde24485101aa13a1a2e24c0e3b726c521815739e99780b5d0942c3
- Size of remote file:
- 12.2 MB
- SHA256:
- f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
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