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