Instructions to use futur/Qwen3-Reranker-0.6B-model2vec-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use futur/Qwen3-Reranker-0.6B-model2vec-onnx with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("futur/Qwen3-Reranker-0.6B-model2vec-onnx") - sentence-transformers
How to use futur/Qwen3-Reranker-0.6B-model2vec-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("futur/Qwen3-Reranker-0.6B-model2vec-onnx") 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] - Notebooks
- Google Colab
- Kaggle
Help please
#1 opened 10 months ago
by
prudant