How to use dinhhungitsoft/Qwen3-Embedding-4B-bnb4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dinhhungitsoft/Qwen3-Embedding-4B-bnb4") model = AutoModel.from_pretrained("dinhhungitsoft/Qwen3-Embedding-4B-bnb4", device_map="auto")
How to use dinhhungitsoft/Qwen3-Embedding-4B-bnb4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dinhhungitsoft/Qwen3-Embedding-4B-bnb4") 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]
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