Instructions to use NomaDamas/v-splade-efficient-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NomaDamas/v-splade-efficient-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NomaDamas/v-splade-efficient-mlx --local-dir v-splade-efficient-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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Clarify stored bf16 dtype and fp32 validation
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Add Apache-2.0 license text (Section 4a compliance)
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Fix config.json: splade-mlx converted config (was overwritten by upstream copy)
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Remove upstream torch weights/custom code (keep MLX conversion only)
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MLX bfloat16 conversion of naver/v-splade-efficient
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initial commit
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