Feature Extraction
MLX
Safetensors
multilingual
embedding_gemma2
mlx-vlm
embedding
sentence-similarity
multimodal
image-feature-extraction
audio-feature-extraction
video-feature-extraction
Instructions to use nativ-community/embeddinggemma-2-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nativ-community/embeddinggemma-2-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download nativ-community/embeddinggemma-2-bf16 --local-dir embeddinggemma-2-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download sentence_bert_config.json from nativ-community/embeddinggemma-2-bf16: direct link, hf CLI and curl.
- Browser
- Download file 747 Bytes
-
https://huggingface.co/nativ-community/embeddinggemma-2-bf16/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://nativ-community/embeddinggemma-2-bf16/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/nativ-community/embeddinggemma-2-bf16/resolve/main/sentence_bert_config.json
747 Bytes
| { | |
| "transformer_task": "feature-extraction", | |
| "modality_config": { | |
| "text": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state" | |
| }, | |
| "image": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state" | |
| }, | |
| "audio": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state" | |
| }, | |
| "video": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state" | |
| }, | |
| "message": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state", | |
| "format": "structured" | |
| } | |
| }, | |
| "module_output_name": "token_embeddings" | |
| } |