How to use p0x0q-dev/bge-m3-sparse-experimental with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("p0x0q-dev/bge-m3-sparse-experimental") 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]
https://huggingface.co/p0x0q-dev/bge-m3-sparse-experimental/resolve/main/__pycache__/handler.cpython-311.pyc
hf download hf://p0x0q-dev/bge-m3-sparse-experimental/__pycache__/handler.cpython-311.pyc
curl -L -o handler.cpython-311.pyc https://huggingface.co/p0x0q-dev/bge-m3-sparse-experimental/resolve/main/__pycache__/handler.cpython-311.pyc
