How to use alibayram/embeddingmagibu-200m-mlx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alibayram/embeddingmagibu-200m-mlx") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use alibayram/embeddingmagibu-200m-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir embeddingmagibu-200m-mlx alibayram/embeddingmagibu-200m-mlx
