Feature Extraction
MLX
Safetensors
multilingual
embedding_gemma2
mlx-vlm
embedding
sentence-similarity
multimodal
image-feature-extraction
audio-feature-extraction
video-feature-extraction
5-bit
Instructions to use mlx-community/embeddinggemma-2-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/embeddinggemma-2-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/embeddinggemma-2-5bit --local-dir embeddinggemma-2-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download modules.json from mlx-community/embeddinggemma-2-5bit: direct link, hf CLI and curl.
- Browser
- Download file 413 Bytes
-
https://huggingface.co/mlx-community/embeddinggemma-2-5bit/resolve/main/modules.json
- Command line
-
hf download hf://mlx-community/embeddinggemma-2-5bit/modules.json
-
curl -L -o modules.json https://huggingface.co/mlx-community/embeddinggemma-2-5bit/resolve/main/modules.json
413 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.base.modules.normalize.Normalize" | |
| } | |
| ] |