How to use C10X/Qwen3-Embedding-TurboX.v2 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("C10X/Qwen3-Embedding-TurboX.v2")
How to use C10X/Qwen3-Embedding-TurboX.v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("C10X/Qwen3-Embedding-TurboX.v2") 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]
did you ever benchmark?
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