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lightonai/answerai-colbert-small-v1-onnx
answerai-colbert-small-v1-onnx is a feature extraction model from lightonai. Use it when you need embeddings to search or compare text. It is set up for colbert-onnx. The card lists the license as mit.
ONNX export of answerdotai/answerai-colbert-small-v1 for fast CPU inference.
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Updated Jan 22, 2026
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From the Hugging Face model README
ONNX export of answerdotai/answerai-colbert-small-v1 for fast CPU inference.
| File | Description |
|---|---|
model.onnx | FP32 ONNX model |
model_int8.onnx | INT8 quantized model (faster) |
tokenizer.json | Tokenizer configuration |
config_sentence_transformers.json | Model configuration |
use colbert_onnx::Colbert;
let mut model = Colbert::from_pretrained("path/to/model")?;
let embeddings = model.encode_documents(&["Hello world"])?;
This model was exported using pylate-onnx-export:
pip install "pylate-onnx-export @ git+https://github.com/lightonai/next-plaid.git#subdirectory=onnx/python"
pylate-onnx-export answerdotai/answerai-colbert-small-v1 --push-to-hub lightonai/answerai-colbert-small-v1-onnx