Feature Extraction
MLX
Safetensors
sentence-transformers
embedding_gemma2
quantized
text-only
8-bit precision
Instructions to use lorelaiassistant/embeddinggemma-2-text-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lorelaiassistant/embeddinggemma-2-text-mlx-int8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download lorelaiassistant/embeddinggemma-2-text-mlx-int8 --local-dir embeddinggemma-2-text-mlx-int8
- sentence-transformers
How to use lorelaiassistant/embeddinggemma-2-text-mlx-int8 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lorelaiassistant/embeddinggemma-2-text-mlx-int8") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
5 days ago
-
Add EmbeddingGemma 2 text-only MLX int8
Verified signatureff05f13