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ColBERT-Zero-onnx
rbw/ColBERT-Zero-onnx
ColBERT-Zero-onnx is a feature extraction model from rbw. Use it when you need embeddings to search or compare text. It is set up for colbert-zero-onnx. The card lists the license as mit.
ONNX export of lightonai/ColBERT-Zero for fast CPU inference.
Access
Public
Updated Apr 9, 2026
Repo size
747 MB
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Repo makeup
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.onnx747 MB · 100%
At a glance
- Task
- Feature Extraction
- Library
- colbert-zero-onnx
- License
- mit
- Access
- Public
- Created
- Apr 3, 2026
- Updated
- Apr 9, 2026
- SHA
- 8b92d302
Base models
Model card
From the Hugging Face model README
ColBERT-Zero-onnx
ONNX export of lightonai/ColBERT-Zero for fast CPU inference.
Model Details
- Source Model: 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)
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:
pip install "pylate-onnx-export @ git+https://github.com/lightonai/next-plaid.git#subdirectory=onnx/python"
pylate-onnx-export unknown --push-to-hub rbw/ColBERT-Zero-onnx
- Task
- Feature Extraction
- Library
- colbert-zero-onnx
- License
- mit
- Created
- Apr 3, 2026
- Updated
- Apr 9, 2026