Added model card

README.md

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+---
+license: apache-2.0
+pipeline_tag: sentence-similarity
+---
+
+ONNX port of [sentence-transformers/clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) for 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="Qdrant/clip-ViT-B-32-text")
+embeddings = list(model.embed(documents))
+
+# [
+#     array([1.57889184e-02, -2.21896712e-02, -1.40235685e-02, -2.36918423e-02, ...],
+#           dtype=float32)
+# ]
+```