How to use HIT-TMG/JevEmbed-Qwen3-Embedding-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HIT-TMG/JevEmbed-Qwen3-Embedding-4B") 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]
https://huggingface.co/HIT-TMG/JevEmbed-Qwen3-Embedding-4B/resolve/main/merges.txt
hf download hf://HIT-TMG/JevEmbed-Qwen3-Embedding-4B/merges.txt
curl -L -o merges.txt https://huggingface.co/HIT-TMG/JevEmbed-Qwen3-Embedding-4B/resolve/main/merges.txt
