How to use HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1") 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/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1/resolve/main/README.md
hf download hf://HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1/README.md
curl -L -o README.md https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1/resolve/main/README.md
