Instructions to use huggingface-mic/Qwen3-Reranker-0-6B-seq-cls-mic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use huggingface-mic/Qwen3-Reranker-0-6B-seq-cls-mic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("huggingface-mic/Qwen3-Reranker-0-6B-seq-cls-mic") 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
Qwen3-Reranker-0-6B-seq-cls-mic
Slim model weights, executable usage and framework expectations in one repository.
- Contract manifest
- Sentence Transformers usage
- Sentence Transformers expectations
- Fixture provenance
- How the fixture was shrunk
Contract
CrossEncoder: tomaarsen/Qwen3-Reranker-0.6B-seq-cls
Runnable usage and the framework expectations directory are linked above.
Slim model
CrossEncoder MIC fixture
Shrunk pipeline for tomaarsen/Qwen3-Reranker-0.6B-seq-cls. Its weights are random and do not represent the source model's retrieval quality.
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for huggingface-mic/Qwen3-Reranker-0-6B-seq-cls-mic
Base model
Qwen/Qwen3-0.6B-Base Finetuned
tomaarsen/Qwen3-Reranker-0.6B-seq-cls