How to use aneforge/all-mpnet-base-v2 with ANEForge:
# Run this model's encoder on the Apple Neural Engine, without CoreML. from aneforge.sentence_transformers import SentenceTransformer model = SentenceTransformer("aneforge/all-mpnet-base-v2") embeddings = model.encode(["Hello from the Neural Engine"], normalize_embeddings=True)
How to use aneforge/all-mpnet-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aneforge/all-mpnet-base-v2") 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]
