How to use reasonwang/embedding-qwen3-1.7b-embedding_unicode_shuf with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("reasonwang/embedding-qwen3-1.7b-embedding_unicode_shuf") 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/reasonwang/embedding-qwen3-1.7b-embedding_unicode_shuf/resolve/main/vocab.json
hf download hf://reasonwang/embedding-qwen3-1.7b-embedding_unicode_shuf/vocab.json
curl -L -o vocab.json https://huggingface.co/reasonwang/embedding-qwen3-1.7b-embedding_unicode_shuf/resolve/main/vocab.json
