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---
license: mit
language:
- en
tags:
- onnx
---
This is the ONNX variant of the [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) embeddings model created with the [DeepSparse Optimum](https://github.com/neuralmagic/optimum-deepsparse) integration.
To replicate ONNX export, run:
```bash
pip install git+https://github.com/neuralmagic/optimum-deepsparse.git
```
```python
from optimum.deepsparse import DeepSparseModelForFeatureExtraction
from transformers.onnx.utils import get_preprocessor
from pathlib import Path
model_id = "BAAI/bge-base-en-v1.5"
# load model and convert to onnx
model = DeepSparseModelForFeatureExtraction.from_pretrained(model_id, export=True)
tokenizer = get_preprocessor(model_id)
# save onnx checkpoint and tokenizer
onnx_path = Path("bge-base-en-v1.5-dense")
model.save_pretrained(onnx_path)
tokenizer.save_pretrained(onnx_path)
``` |