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README.md

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+---
+library_name: colbert-onnx
+tags:
+  - colbert
+  - onnx
+  - sentence-transformers
+  - feature-extraction
+license: mit
+---
+
+# model-test
+
+ONNX export of [mixedbread-ai/mxbai-edge-colbert-v0-32m](https://huggingface.co/mixedbread-ai/mxbai-edge-colbert-v0-32m) for fast CPU inference.
+
+## Model Details
+
+- **Source Model**: [mixedbread-ai/mxbai-edge-colbert-v0-32m](https://huggingface.co/mixedbread-ai/mxbai-edge-colbert-v0-32m)
+- **Embedding Dimension**: 64
+- **Format**: ONNX (FP32 + INT8)
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `model.onnx` | FP32 ONNX model |
+| `model_int8.onnx` | INT8 quantized model (faster) |
+| `tokenizer.json` | Tokenizer configuration |
+| `config_sentence_transformers.json` | Model configuration |
+
+## Usage with colbert-onnx (Rust)
+
+```rust
+use colbert_onnx::Colbert;
+
+let mut model = Colbert::from_pretrained("path/to/model")?;
+let embeddings = model.encode_documents(&["Hello world"])?;
+```
+
+## Export Tool
+
+This model was exported using [pylate-onnx-export](https://github.com/lightonai/next-plaid/tree/main/onnx/python):
+
+```bash
+pip install "pylate-onnx-export @ git+https://github.com/lightonai/next-plaid.git#subdirectory=onnx/python"
+pylate-onnx-export mixedbread-ai/mxbai-edge-colbert-v0-32m --push-to-hub raphaelsty/model-test
+```