Feature Extraction
MLX
Safetensors
multilingual
embedding_gemma2
mlx-vlm
embedding
sentence-similarity
multimodal
image-feature-extraction
audio-feature-extraction
video-feature-extraction
4-bit precision
Instructions to use nativ-community/embeddinggemma-2-mxfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nativ-community/embeddinggemma-2-mxfp4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download nativ-community/embeddinggemma-2-mxfp4 --local-dir embeddinggemma-2-mxfp4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 135 Bytes
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