Instructions to use AlekseyCalvin/Hermemma_Lyrical_En_ru_meter_parser-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AlekseyCalvin/Hermemma_Lyrical_En_ru_meter_parser-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Hermemma_Lyrical_En_ru_meter_parser-mlx-4Bit AlekseyCalvin/Hermemma_Lyrical_En_ru_meter_parser-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 74f7059f05cfcc5dc6a2016f18c62e60e864f3dfefd2b33bdc4a8d55effed320
- Size of remote file:
- 33.4 MB
- SHA256:
- 80d7f800b949accd7eb940bac75e642f9468e4df157403032a55bf54ed23b650
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