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@@ -28,18 +28,4 @@ tokenizer = get_preprocessor(model_id)
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  onnx_path = Path("bge-base-en-v1.5-dense")
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  model.save_pretrained(onnx_path)
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  tokenizer.save_pretrained(onnx_path)
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- ```
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-
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- Current list of sparse and quantized bge ONNX models:
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-
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- [zeroshot/bge-large-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-large-en-v1.5-sparse)
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-
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- [zeroshot/bge-large-en-v1.5-quant](https://huggingface.co/zeroshot/bge-large-en-v1.5-quant)
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-
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- [zeroshot/bge-base-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-base-en-v1.5-sparse)
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-
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- [zeroshot/bge-base-en-v1.5-quant](https://huggingface.co/zeroshot/bge-base-en-v1.5-quant)
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-
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- [zeroshot/bge-small-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-small-en-v1.5-sparse)
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-
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- [zeroshot/bge-small-en-v1.5-quant](https://huggingface.co/zeroshot/bge-small-en-v1.5-quant)
 
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  onnx_path = Path("bge-base-en-v1.5-dense")
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  model.save_pretrained(onnx_path)
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  tokenizer.save_pretrained(onnx_path)
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+ ```