Added a model card

README.md

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+---
+license: apache-2.0
+pipeline_tag: sentence-similarity
+---
+
+Quantized ONNX port of [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) text classification and similarity searches.
+
+### Usage
+
+Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
+
+```py
+from fastembed import TextEmbedding
+
+documents = [
+    "You should stay, study and sprint.",
+    "History can only prepare us to be surprised yet again.",
+]
+
+model = TextEmbedding(model_name="BAAI/bge-base-en-v1.5")
+embeddings = list(model.embed(documents))
+
+# [
+#     array([1.96449570e-02, 1.60677675e-02, 4.10149433e-02...]),
+#     array([-1.56669170e-02, -1.66313536e-02, -6.84525725e-03...])
+# ]
+```