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---
library_name: colbert-onnx
tags:
- colbert
- onnx
- sentence-transformers
- feature-extraction
license: mit
---
# model-test-onnx
ONNX export of [unknown](https://huggingface.co/unknown) for fast CPU inference.
## Model Details
- **Source Model**: [unknown](https://huggingface.co/unknown)
- **Embedding Dimension**: unknown
- **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 unknown --push-to-hub raphaelsty/model-test-onnx
```
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