Update README.md

README.md

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 This is the quantized (INT8) ONNX variant of the [bge-micro-v2](https://huggingface.co/TaylorAI/bge-micro-v2) embeddings model created with [DeepSparse Optimum](https://github.com/neuralmagic/optimum-deepsparse) for ONNX export/inference and Neural Magic's [Sparsify](https://github.com/neuralmagic/sparsify) for one-shot quantization.
 
-Current list of sparse and quantized bge ONNX models:
-
-| Links                                                                                               | Sparsification Method |
-| --------------------------------------------------------------------------------------------------- | ---------------------- |
-| [zeroshot/bge-large-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-large-en-v1.5-sparse)     |    Quantization (INT8) & 50% Pruning                    |
-| [zeroshot/bge-large-en-v1.5-quant](https://huggingface.co/zeroshot/bge-large-en-v1.5-quant)     |   Quantization (INT8)                     |
-
 ```bash
 pip install -U deepsparse-nightly[sentence_transformers]
 ```