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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-Embedding-0.6B
+tags:
+- qwen3
+- text-embeddings-inference
+- onnx
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+language:
+- multilingual
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+
+# Qwen3-Embedding-0.6B ONNX for TEI
+
+This is an ONNX version of [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) optimized for [Text Embeddings Inference (TEI)](https://github.com/huggingface/text-embeddings-inference).
+
+## Model Details
+
+- **Base Model**: Qwen/Qwen3-Embedding-0.6B
+- **Format**: ONNX with external data (`model.onnx` + `model.onnx_data`)
+- **Pooling**: Mean pooling (built into the ONNX graph)
+- **Embedding Dimension**: 1024
+- **Max Sequence Length**: 32768 tokens
+
+## Usage with TEI
+
+```bash
+docker run --gpus all -p 8080:80 -v $PWD:/data \
+  ghcr.io/huggingface/text-embeddings-inference:latest \
+  --model-id janni-t/qwen3-embedding-0.6b-tei-onnx
+```
+
+For CPU inference:
+```bash
+docker run -p 8080:80 -v $PWD:/data \
+  ghcr.io/huggingface/text-embeddings-inference:cpu-latest \
+  --model-id janni-t/qwen3-embedding-0.6b-tei-onnx
+```
+
+## Conversion Details
+
+This model was converted from the original PyTorch model to ONNX format with:
+- Consolidated external data for TEI compatibility
+- Mean pooling integrated into the ONNX graph
+- Optimized for CPU inference
+
+## Original Model
+
+See the original model card at [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) for:
+- Model architecture details
+- Training information
+- Benchmark results
+- Citation information
+
+## License
+
+Apache 2.0 (same as the original model)