Feature Extraction
sentence-transformers
Safetensors
Transformers
sentence-similarity
text-embeddings-inference
Instructions to use dengcao/Qwen3-Embedding-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dengcao/Qwen3-Embedding-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dengcao/Qwen3-Embedding-0.6B") 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] - Transformers
How to use dengcao/Qwen3-Embedding-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dengcao/Qwen3-Embedding-0.6B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dengcao/Qwen3-Embedding-0.6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# 2025年7月7日 更新说明
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# 2025年7月8日 更新说明
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替换并更新成Vllm官方的最新镜像:[dengcao/vllm-openai: v0.9.2](https://hub.docker.com/r/dengcao/vllm-openai/tags)。此镜像与vllm官方保持一致,可放心使用。
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**更新方法:** 1、重新下载docker-compose.yaml文件覆盖旧文件。2、删除对应容器后,cd切换到项目根目录,重新执行:docker compose up -d
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# 2025年7月7日 更新说明
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