How to use lorelaiassistant/mxbai-embed-large-v1-mlx-int6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mxbai-embed-large-v1-mlx-int6 lorelaiassistant/mxbai-embed-large-v1-mlx-int6
How to use lorelaiassistant/mxbai-embed-large-v1-mlx-int6 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lorelaiassistant/mxbai-embed-large-v1-mlx-int6") 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]
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