Create README.md (#1)

- Create README.md (c0e5444235f6862180c7001a9aa8332426bc1781)
- Update README.md (a636590e595dbbd798647c9dd4550d5652fba969)


Co-authored-by: Anush Shetty <[email protected]>

README.md

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+---
+license: apache-2.0
+pipeline_tag: image-classification
+---
+
+ONNX port of [sentence-transformers/clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32).
+
+This model is intended to be used for image 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 ImageEmbedding
+
+images = [
+    "./path/to/image1.jpg",
+    "./path/to/image2.jpg",
+]
+
+model = ImageEmbedding(model_name="Qdrant/clip-ViT-B-32-vision")
+embeddings = list(model.embed(images))
+
+# [
+#   array([-0.1115,  0.0097,  0.0052,  0.0195, ...], dtype=float32),
+#   array([-0.1019,  0.0635, -0.0332,  0.0522, ...], dtype=float32)
+# ]
+```