How to use mavis-ai/Multilingual-e5-large-Q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Multilingual-e5-large-Q8 mavis-ai/Multilingual-e5-large-Q8
How to use mavis-ai/Multilingual-e5-large-Q8 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mavis-ai/Multilingual-e5-large-Q8") 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]
