Feature Extraction
MLX
Safetensors
embedding_gemma2
embeddings
sentence-similarity
quantized
krill
5bit
embedding
multimodal-embedding
multimodal
vision
audio
video
apple-silicon
5-bit
Instructions to use srv-sngh/embeddinggemma-2-mlx-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use srv-sngh/embeddinggemma-2-mlx-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download srv-sngh/embeddinggemma-2-mlx-5bit --local-dir embeddinggemma-2-mlx-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 2_Normalize/config.json from srv-sngh/embeddinggemma-2-mlx-5bit: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
-
https://huggingface.co/srv-sngh/embeddinggemma-2-mlx-5bit/resolve/main/2_Normalize/config.json
- Command line
-
hf download hf://srv-sngh/embeddinggemma-2-mlx-5bit/2_Normalize/config.json
-
curl -L -o config.json https://huggingface.co/srv-sngh/embeddinggemma-2-mlx-5bit/resolve/main/2_Normalize/config.json
97 Bytes
| { | |
| "module_input_name": "sentence_embedding", | |
| "module_output_name": "sentence_embedding" | |
| } |