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] huggingface-cli download --local-dir warble scrappylabsai/warble
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 19fb75433d777a145db9a19368826ed88cd82ca183faeb2fc14e41bdcd09c2c2
- Size of remote file:
- 1.35 GB
- SHA256:
- c310505aa11fe2f6cc63b8d3130dc7e77e73227774f5c62575769b1f47a8d048
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